Smarter Cities pillars: Internet of Things, Web of Data, Crowdsourcing
Interdependence analysis: Society ageing and Societal urbanisation
Enablement of Smarter Inclusive Cities
Internet of Things, Web of Data & Citizen Participation as Enablers of Smart Cities
Internet of Things
Broad Data:
Big Data
User-generated Data
Linked Data
Urban analytics
Smart Cities
Open Government
The document summarizes a presentation given by Dr. Diego López-de-Ipiña about enabling smarter inclusive cities through internet of things, linked data, and citizen participation. It discusses MORElab's research focusing on these areas, including several European projects involving remote labs, smart environments, social data mining, and linked data applications. The concept of smarter cities is defined as combining IoT, linked data, citizen smartphone apps, and urban analytics. Key projects described are IES Cities and WeLive, which aim to enhance cities with open data and user-generated content through mobile apps.
This document provides an overview of the Internet of Things (IoT) concept, including its definition, key enabling technologies, areas of application, examples of implementation, and challenges. Some key points:
- IoT refers to the network of physical objects embedded with sensors, software, and network connectivity that enables them to collect and exchange data. This allows objects to be monitored and controlled remotely.
- Main technologies enabling IoT include RFID, NFC, sensor networks, and protocols that allow interconnection and data transmission.
- Main areas of IoT application include healthcare, transportation, industrial processes, smart cities, and consumer devices. This brings opportunities for efficiency and data-driven improvements.
- Ch
This presentation overviews the reseach areas, active project and scientific contributions produced by DeustoTech-INTERNET and the MORElab research group (http://www.morelab.deusto.es)
Introduction:
Context: societal urbanization and ageing
Interdependence analysis: Ambient Assisted Cities
ICT & Social Innovation leading towards Smarter Cities
Technologies for enablement of Smarter Cities:
Internet of Things
Web of Data
Crowdsourcing
Building Smarter Cities
Broad Data Analysis Tools
European projects about Smarter Ambient Assisted Cities
Conclusion
Talk given at FBK, Trento with my views on how we could progress towards Smarter Cities, those cities that do not only pursue resource efficiency but mainly focus on addressing the citizen actual needs in their daily interactions with the city. This presentation addresses: a) how an enabling platform for Smarter Cities must support developers by providing well-known interfaces and data management languages (REST, JSON and SQL) and b) also end-users by enabling them to contribute with data, still continuously analyzing the quality of their provided data.
WeLive project Open Government We-Government Tools Open Innovation Open Services Open Data Focus Groups Public Service Apps Bilbao Smart Cities Sustainable Participative Cities
The document discusses the need for smart cities to become more ambient assisted and inclusive of all citizens, especially those with disabilities or who are elderly. It proposes several technologies and projects aimed at overcoming physical and digital barriers to enable accessible navigation and use of city services. Finally, it argues that citizen participation through mobile apps can help enrich cities' open data and make them truly smart and user-centric.
Internet of Things, Web of Data & Citizen Participation as Enablers of Smart Cities
Internet of Things
Broad Data:
Big Data
User-generated Data
Linked Data
Urban analytics
Smart Cities
Open Government
The document summarizes a presentation given by Dr. Diego López-de-Ipiña about enabling smarter inclusive cities through internet of things, linked data, and citizen participation. It discusses MORElab's research focusing on these areas, including several European projects involving remote labs, smart environments, social data mining, and linked data applications. The concept of smarter cities is defined as combining IoT, linked data, citizen smartphone apps, and urban analytics. Key projects described are IES Cities and WeLive, which aim to enhance cities with open data and user-generated content through mobile apps.
This document provides an overview of the Internet of Things (IoT) concept, including its definition, key enabling technologies, areas of application, examples of implementation, and challenges. Some key points:
- IoT refers to the network of physical objects embedded with sensors, software, and network connectivity that enables them to collect and exchange data. This allows objects to be monitored and controlled remotely.
- Main technologies enabling IoT include RFID, NFC, sensor networks, and protocols that allow interconnection and data transmission.
- Main areas of IoT application include healthcare, transportation, industrial processes, smart cities, and consumer devices. This brings opportunities for efficiency and data-driven improvements.
- Ch
This presentation overviews the reseach areas, active project and scientific contributions produced by DeustoTech-INTERNET and the MORElab research group (http://www.morelab.deusto.es)
Introduction:
Context: societal urbanization and ageing
Interdependence analysis: Ambient Assisted Cities
ICT & Social Innovation leading towards Smarter Cities
Technologies for enablement of Smarter Cities:
Internet of Things
Web of Data
Crowdsourcing
Building Smarter Cities
Broad Data Analysis Tools
European projects about Smarter Ambient Assisted Cities
Conclusion
Talk given at FBK, Trento with my views on how we could progress towards Smarter Cities, those cities that do not only pursue resource efficiency but mainly focus on addressing the citizen actual needs in their daily interactions with the city. This presentation addresses: a) how an enabling platform for Smarter Cities must support developers by providing well-known interfaces and data management languages (REST, JSON and SQL) and b) also end-users by enabling them to contribute with data, still continuously analyzing the quality of their provided data.
WeLive project Open Government We-Government Tools Open Innovation Open Services Open Data Focus Groups Public Service Apps Bilbao Smart Cities Sustainable Participative Cities
The document discusses the need for smart cities to become more ambient assisted and inclusive of all citizens, especially those with disabilities or who are elderly. It proposes several technologies and projects aimed at overcoming physical and digital barriers to enable accessible navigation and use of city services. Finally, it argues that citizen participation through mobile apps can help enrich cities' open data and make them truly smart and user-centric.
This talks covers the following:
- IoT need for Linked Data
- Eco-aware devices: why and what for?
- Eco-aware Linked Data Devices
- A practical case: Sustainable Linked Data Coffee Maker
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Service Design and Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Persuasive technologies and Behaviour Change
Part III: Implications for CyberParks
European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul
Reflections on the need for collaboration among stakeholders mediated with technology to realize CyberParks
Conclusions and practical implications
The document discusses the vision of ambient assisted cities that are aware of and cater to the needs of all citizens, especially the elderly and disabled. It proposes using technologies like mobile apps, sensors in public infrastructure, and linking open urban data to provide accessible information and services. This would allow people to independently navigate the city, find accessible transportation and points of interest, and encourage healthy lifestyles. Examples of pilot projects and research initiatives are provided that aim to enhance accessibility and inclusion through adaptive interfaces and leveraging linked urban data. The goal is to empower citizens and create sustainable smart cities for all.
The document discusses enabling smarter cities through connecting devices, data, and citizens. It summarizes that Internet of Things will connect billions of devices by 2020, and that linked open data and citizen participation are needed along with IoT to create smarter cities. Smarter cities are defined as using technology and data to improve quality of life while ensuring sustainability, through connecting IoT, linked data, mobile apps, and analyzing urban data. The document advocates making cities more livable, accessible, healthy, inclusive, and participatory for all citizens.
IES Cities Hackathon, Zaragoza, 10-12 July 2015
IES Cities Project Overview and API
IES Cities Explanation
What does IES Cities propose?
Main objectives
Added value
IES Cities Apps examples
IES Cities Platform and APIS
Hackathon contest and conditions
SmartCities increase citizens’ quality of life and improve the efficiency and quality of the services provided by governing entities and business
“The city must become like the Internet, i.e. enabling creative development and easy deployment of applications which aim to empower the citizen” - THE APPS FOR SMART CITIES MANIFESTO
This view can be achieved by leveraging:
Available infrastructure such as Open Government Data and deployed sensor networks in cities
Citizens’ participation through apps in their smartphones
The IES CITIES project promotes user-centric mobile micro-services that exploit open data and generate user-supplied data
Hypothesis: Users may help on improving, extending and enriching the open data in which micro-services are based
Its platform aims to:
Facilitate the generation of citizen-centric apps that exploit urban data in different domains
Enable user supplied data to complement, enrich and enhance existing datasets about a city
The document summarizes the research activities of the SOFTWARØsfera research line within the MoreLab research group at the University of Deusto in Bilbao, Spain. The research line focuses on three key areas: ambient assisted living, infrastructure for the future internet of things, and mobile context-aware services. It provides examples of completed and ongoing projects within these areas, which aim to enhance elderly care, develop semantic middleware, and enable context-aware service discovery and composition through mobile devices.
The quest for realizing Smart Environments has taken place for the last 30 years. Diverse adaptations of the original UbiComp vision have been developed, each highlighting diverse aspects who have been considered critical to enable a wider and more acceptable adoption of Smart Environments. Notable examples of such interesting adaptations are Context-aware Computing, Sentient Computing, Ambient Intelligence, Ambient Assisted Living and Internet of Everything. Under those different umbrella terms, researchers have explored the 3 stage enabling equation for Smart Environments, i.e. “SENSE + PROCESS = ACT”, i.e. spaces where the environment is aware of the needs, profiles and preferences from the sensed users and accommodates its behaviour to ease their daily interactions. Contributions around these different perspectives and applied to distinct environments, i.e. Smart Offices, Smart Homes, Smart Factories or Smart Cities, have been produced, all addressing the challenges posed by ever more complex systems of systems populated by multiple users. This talk will exemplify research results on how to accomplish these three core steps. Firstly, in the SENSE part, the importance of location sensing and the spread of low cost highly dense sensing environments (RFID, NFC or low range Bluetooth) will be described. Secondly, the PROCESS stage where ever more sophisticated analytics mechanisms to take into account historic and real-time data are considered, combining domain-driven (rules) and data-driven solutions, will be analysed. Thirdly, the ACT stage will be explored, considering the evolution from reactive to learning persuasive environments which aim to collaborate with their users. Thus, a middle ground fostering collaboration between smart things and people will be defended giving place to Smarter environments. The implications of the Smarter environments approach will be illustrated with use cases in the Open Government and Efficient Energy Management domains.
Research on infrastructure-less and off-the-shelf hardware based research on Ubiquitous Computing, through software sensors, rule-based engines, middleware, semantic web, Linked Data and IoT, for two key domains: Smart Cities and AAL
This paper describes the WeLive framework, a set of tools to enable co-created urban apps by means of bringing together Open Innovation, Open Data and Open Services paradigms.
Proposes a more holistic involvement of stakeholders across service ideation, creation and exploitation WeLive co-creation process
The two-phase evaluation methodology designed and the evaluation results of pre-pilot sub-phase are also presented.
Including early user experience evaluation for WeLive
EMI2lets is a middleware platform that aims to facilitate the development of context-aware mobile applications for ambient intelligence spaces. It uses mobile devices as universal remote controllers of "smart objects" in the environment. The EMI2lets platform allows physical objects and devices to be augmented with computational services, and discovers and interacts with these smart objects. It transfers small software components called EMI2lets from smart objects to mobile devices, allowing users to interact with and control smart objects through their phone or PDA. This transforms the environment into an ambient intelligence space and mobile devices into intelligent assistants.
This document discusses transitioning to smart communities and rural environments through open knowledge and collaboration. It argues that smart places require participatory and user-driven innovation where citizens are empowered through ubiquitous apps and services. However, continuously engaging users in collaborative processes is challenging. Blockchain and human computation techniques can help turn citizens into prosumers of public data and services by incentivizing contributions and tracking refinements on open data portals. This can provide actionable open knowledge to better serve rural citizens and enterprises.
Panel #4: Open Knowledge - Data, Citizens and Governance
FIWARE Global Summit
Smart Cities
Participative Cities
Citizen participation
Beyond Open Data Portals
CO-CREATION
Urban Intelligence
Knowledge Graphs
Actionable Knowledge to the service of citizens
This document discusses smart cities and the role of data and analytics in creating smarter cities. It covers topics like what makes a city smart, the importance of citizen participation and crowdsourcing, using IoT and linked open data to generate insights. It also discusses challenges around ensuring quality of user-generated data and the need for human-centric collaborative services that leverage big data, crowdsourcing and engagement to improve quality of life in cities.
1. The document discusses how ICT can help address the challenges of an aging population and increasing urbanization by creating smarter, more elderly-friendly cities. It describes several EU projects using technologies like IoT, big data, and mobile health to promote independent living, healthcare access and social engagement for elderly citizens.
2. Key enablers for ambient assisted living include collecting data from diverse sources, analyzing it to gain insights and using IoT to connect people and things. Personal devices are increasingly being used for health tracking and quantified self.
3. The EU funds R&D projects focused on managing health/care, innovating healthcare systems, and ICT solutions for active aging. Examples provided are the BigO
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Part III: WeLive Case Study
WeLive as Open Government enabling methodology and platform
Reflections on the need for collaboration among stakeholders to realize Smarter Cities
Conclusions and practical implications
Esta jornada explicará el concepto de Internet de las Cosas (IoT) y su encaje dentro de las últimas tendencias tecnológicas como Big Data o blockchain. Describirá las tecnologías que lo hacen posible. Ofrecerá ejemplos de aplicación de IoT a diferentes ámbitos como salud, ciudades inteligentes o industria. Identificará su grado de desarrollo actual. Explorará su potencial implantación en nuestras entornos vitales e influencia en nuestras actividades cotidianas en un futuro cercano.
Empowering citizens to turn them into co-creatorsof demand-driven public services. CO-CREATION methodology, supporting platform and tools. Ecosystem of co-created artefacts. Open Government enablling
Smart Cities are all about collaboration, sharing and transparency. They need true openness of data. It is not just governments opening up their data for everyone in public platforms. It is individual citizens and privately-owned companies offering their data to the government or government departments sharing their data with one another. That is the true meaning of ‘Open Data’, which goes beyond the traditional definitions. Because Smart Cities eat the ‘status quo’ for breakfast. They change at the speed of light, together with their environment. They are the cities of the future.
On the Road to Smart Cities - Opportunities and Challenges莫利伟 Olivier Maugain
Chinese cities are much larger in population than French cities, with Chinese cities being over 20 times larger on average. As China's urbanization rate increases to 69% by 2030, nearly 1 billion people will live in cities, requiring the absorption of 220 million new urban residents over 15 years. This rapid urbanization will put major strain on Chinese cities relating to transportation, healthcare, utilities and other areas. Smart cities offer a solution by enabling improved urban services, reduced costs and resource usage, and enhanced citizen engagement through analysis of real-time information across sectors. Examples provided include a bus tracking app in Chongqing, a smart grid at a hospital in Ningxia, and a connected home development in Guangzhou. China is
A Unified Semantic Engine for Internet of Things and Smart Cities: From Senso...Amélie Gyrard
A Unified Semantic Engine for Internet of Things and Smart Cities: From Sensor Data to End-Users Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Martin Serrano
This talks covers the following:
- IoT need for Linked Data
- Eco-aware devices: why and what for?
- Eco-aware Linked Data Devices
- A practical case: Sustainable Linked Data Coffee Maker
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Service Design and Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Persuasive technologies and Behaviour Change
Part III: Implications for CyberParks
European projects on enabling Smarter Environments: WeLive, City4Age, GreenSoul
Reflections on the need for collaboration among stakeholders mediated with technology to realize CyberParks
Conclusions and practical implications
The document discusses the vision of ambient assisted cities that are aware of and cater to the needs of all citizens, especially the elderly and disabled. It proposes using technologies like mobile apps, sensors in public infrastructure, and linking open urban data to provide accessible information and services. This would allow people to independently navigate the city, find accessible transportation and points of interest, and encourage healthy lifestyles. Examples of pilot projects and research initiatives are provided that aim to enhance accessibility and inclusion through adaptive interfaces and leveraging linked urban data. The goal is to empower citizens and create sustainable smart cities for all.
The document discusses enabling smarter cities through connecting devices, data, and citizens. It summarizes that Internet of Things will connect billions of devices by 2020, and that linked open data and citizen participation are needed along with IoT to create smarter cities. Smarter cities are defined as using technology and data to improve quality of life while ensuring sustainability, through connecting IoT, linked data, mobile apps, and analyzing urban data. The document advocates making cities more livable, accessible, healthy, inclusive, and participatory for all citizens.
IES Cities Hackathon, Zaragoza, 10-12 July 2015
IES Cities Project Overview and API
IES Cities Explanation
What does IES Cities propose?
Main objectives
Added value
IES Cities Apps examples
IES Cities Platform and APIS
Hackathon contest and conditions
SmartCities increase citizens’ quality of life and improve the efficiency and quality of the services provided by governing entities and business
“The city must become like the Internet, i.e. enabling creative development and easy deployment of applications which aim to empower the citizen” - THE APPS FOR SMART CITIES MANIFESTO
This view can be achieved by leveraging:
Available infrastructure such as Open Government Data and deployed sensor networks in cities
Citizens’ participation through apps in their smartphones
The IES CITIES project promotes user-centric mobile micro-services that exploit open data and generate user-supplied data
Hypothesis: Users may help on improving, extending and enriching the open data in which micro-services are based
Its platform aims to:
Facilitate the generation of citizen-centric apps that exploit urban data in different domains
Enable user supplied data to complement, enrich and enhance existing datasets about a city
The document summarizes the research activities of the SOFTWARØsfera research line within the MoreLab research group at the University of Deusto in Bilbao, Spain. The research line focuses on three key areas: ambient assisted living, infrastructure for the future internet of things, and mobile context-aware services. It provides examples of completed and ongoing projects within these areas, which aim to enhance elderly care, develop semantic middleware, and enable context-aware service discovery and composition through mobile devices.
The quest for realizing Smart Environments has taken place for the last 30 years. Diverse adaptations of the original UbiComp vision have been developed, each highlighting diverse aspects who have been considered critical to enable a wider and more acceptable adoption of Smart Environments. Notable examples of such interesting adaptations are Context-aware Computing, Sentient Computing, Ambient Intelligence, Ambient Assisted Living and Internet of Everything. Under those different umbrella terms, researchers have explored the 3 stage enabling equation for Smart Environments, i.e. “SENSE + PROCESS = ACT”, i.e. spaces where the environment is aware of the needs, profiles and preferences from the sensed users and accommodates its behaviour to ease their daily interactions. Contributions around these different perspectives and applied to distinct environments, i.e. Smart Offices, Smart Homes, Smart Factories or Smart Cities, have been produced, all addressing the challenges posed by ever more complex systems of systems populated by multiple users. This talk will exemplify research results on how to accomplish these three core steps. Firstly, in the SENSE part, the importance of location sensing and the spread of low cost highly dense sensing environments (RFID, NFC or low range Bluetooth) will be described. Secondly, the PROCESS stage where ever more sophisticated analytics mechanisms to take into account historic and real-time data are considered, combining domain-driven (rules) and data-driven solutions, will be analysed. Thirdly, the ACT stage will be explored, considering the evolution from reactive to learning persuasive environments which aim to collaborate with their users. Thus, a middle ground fostering collaboration between smart things and people will be defended giving place to Smarter environments. The implications of the Smarter environments approach will be illustrated with use cases in the Open Government and Efficient Energy Management domains.
Research on infrastructure-less and off-the-shelf hardware based research on Ubiquitous Computing, through software sensors, rule-based engines, middleware, semantic web, Linked Data and IoT, for two key domains: Smart Cities and AAL
This paper describes the WeLive framework, a set of tools to enable co-created urban apps by means of bringing together Open Innovation, Open Data and Open Services paradigms.
Proposes a more holistic involvement of stakeholders across service ideation, creation and exploitation WeLive co-creation process
The two-phase evaluation methodology designed and the evaluation results of pre-pilot sub-phase are also presented.
Including early user experience evaluation for WeLive
EMI2lets is a middleware platform that aims to facilitate the development of context-aware mobile applications for ambient intelligence spaces. It uses mobile devices as universal remote controllers of "smart objects" in the environment. The EMI2lets platform allows physical objects and devices to be augmented with computational services, and discovers and interacts with these smart objects. It transfers small software components called EMI2lets from smart objects to mobile devices, allowing users to interact with and control smart objects through their phone or PDA. This transforms the environment into an ambient intelligence space and mobile devices into intelligent assistants.
This document discusses transitioning to smart communities and rural environments through open knowledge and collaboration. It argues that smart places require participatory and user-driven innovation where citizens are empowered through ubiquitous apps and services. However, continuously engaging users in collaborative processes is challenging. Blockchain and human computation techniques can help turn citizens into prosumers of public data and services by incentivizing contributions and tracking refinements on open data portals. This can provide actionable open knowledge to better serve rural citizens and enterprises.
Panel #4: Open Knowledge - Data, Citizens and Governance
FIWARE Global Summit
Smart Cities
Participative Cities
Citizen participation
Beyond Open Data Portals
CO-CREATION
Urban Intelligence
Knowledge Graphs
Actionable Knowledge to the service of citizens
This document discusses smart cities and the role of data and analytics in creating smarter cities. It covers topics like what makes a city smart, the importance of citizen participation and crowdsourcing, using IoT and linked open data to generate insights. It also discusses challenges around ensuring quality of user-generated data and the need for human-centric collaborative services that leverage big data, crowdsourcing and engagement to improve quality of life in cities.
1. The document discusses how ICT can help address the challenges of an aging population and increasing urbanization by creating smarter, more elderly-friendly cities. It describes several EU projects using technologies like IoT, big data, and mobile health to promote independent living, healthcare access and social engagement for elderly citizens.
2. Key enablers for ambient assisted living include collecting data from diverse sources, analyzing it to gain insights and using IoT to connect people and things. Personal devices are increasingly being used for health tracking and quantified self.
3. The EU funds R&D projects focused on managing health/care, innovating healthcare systems, and ICT solutions for active aging. Examples provided are the BigO
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Part III: WeLive Case Study
WeLive as Open Government enabling methodology and platform
Reflections on the need for collaboration among stakeholders to realize Smarter Cities
Conclusions and practical implications
Esta jornada explicará el concepto de Internet de las Cosas (IoT) y su encaje dentro de las últimas tendencias tecnológicas como Big Data o blockchain. Describirá las tecnologías que lo hacen posible. Ofrecerá ejemplos de aplicación de IoT a diferentes ámbitos como salud, ciudades inteligentes o industria. Identificará su grado de desarrollo actual. Explorará su potencial implantación en nuestras entornos vitales e influencia en nuestras actividades cotidianas en un futuro cercano.
Empowering citizens to turn them into co-creatorsof demand-driven public services. CO-CREATION methodology, supporting platform and tools. Ecosystem of co-created artefacts. Open Government enablling
Smart Cities are all about collaboration, sharing and transparency. They need true openness of data. It is not just governments opening up their data for everyone in public platforms. It is individual citizens and privately-owned companies offering their data to the government or government departments sharing their data with one another. That is the true meaning of ‘Open Data’, which goes beyond the traditional definitions. Because Smart Cities eat the ‘status quo’ for breakfast. They change at the speed of light, together with their environment. They are the cities of the future.
On the Road to Smart Cities - Opportunities and Challenges莫利伟 Olivier Maugain
Chinese cities are much larger in population than French cities, with Chinese cities being over 20 times larger on average. As China's urbanization rate increases to 69% by 2030, nearly 1 billion people will live in cities, requiring the absorption of 220 million new urban residents over 15 years. This rapid urbanization will put major strain on Chinese cities relating to transportation, healthcare, utilities and other areas. Smart cities offer a solution by enabling improved urban services, reduced costs and resource usage, and enhanced citizen engagement through analysis of real-time information across sectors. Examples provided include a bus tracking app in Chongqing, a smart grid at a hospital in Ningxia, and a connected home development in Guangzhou. China is
A Unified Semantic Engine for Internet of Things and Smart Cities: From Senso...Amélie Gyrard
A Unified Semantic Engine for Internet of Things and Smart Cities: From Sensor Data to End-Users Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Martin Serrano
Este documento describe el proceso para participar en un concurso de ideas para el desarrollo de aplicaciones móviles que promuevan el emprendimiento y desarrollo económico en Bilbao. Los participantes deben crear equipos, registrarse en la plataforma WeLive, completar una plantilla describiendo su idea de app, subirla al área de innovación abierta, y enviar un correo electrónico con la plantilla adjunta. La ayuda y soporte está disponible a través de comentarios en el reto o en la página de soporte de WeLive
Semantic technologies for the Internet of Things PayamBarnaghi
The document discusses semantic technologies for the Internet of Things. It describes how sensor data in the IoT is time-dependent, continuous, and variable quality. Semantic annotations and machine-interpretable formats like XML and RDF are needed to make the data interoperable. Ontologies provide formal definitions of concepts and relationships in a domain that enable machines to process IoT data and enable autonomous device interactions. The document outlines approaches to semantically describe sensor observations and measurements using XML, RDF graphs, and adding domain concepts and logical rules with ontologies.
Windows Azure es una plataforma de Microsoft para la nube que permite construir y alojar aplicaciones en los centros de datos de Microsoft. Proporciona servicios de computación, almacenamiento y bases de datos SQL. Las aplicaciones se desarrollan usando roles web y trabajador con diferentes lenguajes de programación como .NET, Java, PHP y se ejecutan de forma escalable en la nube de Microsoft.
La Internet del Futuro
La internet del futuro: definición, objetivos, limitaciones y desafíos.
Los pilares de la internet del futuro.
Internet de las cosas
Los nuevos protocolos de internet: IPv6 y HTTP 2.0.
La Web del Futuro
Evolución de la web: Web 3.0
El futuro de los navegadores web: HTML5, CSS3, RWD.
El futuro de los buscadores web.
La web como plataforma de servicios: REST, Comet, …
Cloud Computing
Definición.
Manifestaciones de cloud computing: SaaS, PaaS y IaaS.
Aplicaciones cloud más significativas.
Infraestructura cloud: Amazon Web Services.
Plataformas cloud: Google App Engine.
Web de Datos y Big Data
Web Semántica: principios.
Anotación de contenidos, lenguajes, y mash-ups semánticos.
Linked Data: tecnologías, aplicaciones y LOD-Cloud.
Big Data: definición, tecnologías y aplicabilidad.
Conclusión y Preguntas
24 maggio 2016, Alessandra Lanza, partner Prometeia, è stata protagonista del quattordicesimo appuntamento di Exhibitionist, ciclo di incontri tra innovatori di fiere ed eventi organizzato da Fondazione Fiera Milano con la collaborazione di Regione Lombardia, Camera di Commercio e Meet The Media Guru.
¿Qué es la Internet del Futuro?
Big Data = IoT + Cloud Computing + Linked Data
El progreso en campos clave de Future Internet como IoT + Cloud Computing + Linked Data nos está llevando hacia el siguiente gran palabro: Big Data
Infraestructura Virtualizada:Cloud Computing
Cloud Computing es …
Evolución hacia Cloud Computing
Características de Cloud Computing
Clasificación de Cloud Computing
Fisonomía de Cloud Computing
Nivel de transferencia de responsabilidad
Arquitectura Cloud Computing
Ventajas y Retos de Cloud Computing
Proveedores Mayores
Previsión de Mercado y Proveedores Actuales
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform
Internet de las Cosas: IoT
¿Qué es Big Data?
Huawei provides solutions for smart cities that address four megatrends: aging populations in developed nations, economic shifts to emerging countries, population growth concentrated in emerging nations, and increased urbanization worldwide. Huawei's smart city model focuses on creating a safe and orderly society, green and sustainable economy, and happy and healthy lives through technologies like emergency command centers, video surveillance, intelligent traffic systems, digital healthcare, and more. Case studies show how Huawei has implemented solutions for areas like e-government, safe cities, e-education, and e-health in countries around the world to address challenges from these megatrends and enable smarter, more efficient cities.
Este documento discute el concepto de amor y sexualidad desde diferentes perspectivas. Explora las definiciones de amor en diferentes idiomas y culturas, así como los diferentes tipos de amor como el amor romántico, el amor familiar, el amor a Dios y más. También analiza la relación entre amor y sexualidad, argumentando que para que el amor sea auténtico debe incluir las dimensiones física, psicológica y espiritual. El documento concluye que la forma en que entendemos el amor moldea nuestra vida.
Este documento contiene resúmenes de varias actividades realizadas por los estudiantes y maestros de un colegio en Madrid entre junio de 2016 y junio de 2017. Incluye visitas educativas a museos y otros lugares, celebraciones como Halloween y la Castañada, talleres sobre varios temas y excursiones de fin de curso. El documento muestra la variedad de experiencias prácticas y culturales que los estudiantes tuvieron acceso a través de las actividades escolares.
Paulo Roberto da Silva recebeu o Troféu Audacioso em nome da Associação de Moradores do Novo Progresso II pelo trabalho social realizado. O prêmio é oferecido pela PM de Minas Gerais para projetos que promovem mudanças sociais. O TRE-MG iniciou a coleta de dados biométricos dos eleitores de Contagem para as eleições de 2016.
The document discusses how data from the Internet of Things and citizen science can be used for public benefit. It outlines how data is being generated from more sources and in larger volumes, and how this data combined with artificial intelligence is fueling a new data economy. It also presents several approaches for how citizens can be engaged to help refine open government data through incentives and blockchain-based systems, moving from just consuming open data to co-creating and maintaining public services.
Dr. Diego López-de-Ipiña presented on promoting sustainability through energy-aware linked data devices. He discussed how the growing number of internet-connected devices (IoT) creates opportunities to collect and share large amounts of data. However, this data is often siloed and difficult to integrate. Applying linked data principles allows the data to be semantically interlinked and combined with domain knowledge to generate actionable insights. As an example, he described a "Sustainable Linked Data Coffee Maker" that collects energy usage data, provides feedback to users, and intelligently adjusts its operation to reduce wasted energy. It communicates this linked data to social networks and datasets to enable higher level analyses that can inform decisions
Can’t Pay, Won’t Pay, Don’t Pay: Delivering open science, a Digital Research...Carole Goble
Invited talk, PHIL_OS, March 30-31 2023, Exeter
https://opensciencestudies.eu/whither-open-science. Includes hidden slides.
FAIR and Open Science needs Digital Research Infrastructure, which is a federated system of systems and needs funding models that are fit for purpose
Culture change needed for paying for Open Science’s infrastructure and funding support for data driven research needs more reality and less rhetoric
The impact of Big Data on next generation of smart citiesPayamBarnaghi
Big data has the potential to empower citizens, improve public services, and create smarter cities if used effectively. However, simply collecting large volumes of data is not enough - data must be given proper semantics, quality assurances, and integrated with domain knowledge to generate meaningful insights and actions. Additionally, cities are complex social systems, so the social aspects of data collection and its implications must be considered. Technical challenges include data discovery, access, integration, interpretation and scaling to large volumes from many sources, while social challenges involve transforming perceptions and ensuring citizen participation, privacy, and open data access.
The impact of Big Data on next generation of smart citiesCityPulse Project
Big data has the potential to empower citizens, improve public services, and create smarter cities if used effectively. However, simply collecting large volumes of data is not enough - data must be given proper semantics, quality assurances, and integrated with domain knowledge to generate meaningful insights and actions. Additionally, cities are complex social systems, so the social aspects of data collection and its implications must be considered. Technical challenges include data discovery, access, integration, interpretation and scaling to large volumes from many sources, while social challenges involve transforming perceptions and ensuring citizen participation, privacy, and open data access.
This document summarizes a presentation on linked open government data. It discusses how government data is being opened through initiatives like Data.gov and how linked data approaches can help address challenges in making open government data more interoperable, scalable, and able to maintain provenance. Key points discussed include the growth of open government data, challenges in working with raw open data, benefits of converting data to linked open formats, and open questions around improving interoperability, addressing scalability issues, and maintaining provenance as open government data continues to expand.
for getting the library resources fro the libraries entire world, the important tool is Library catalogues. every can browse all most all the world literature through WorldCat fro the INTERNET.
Current Disruptions in Media: Earthquakes or New Openings? Stanford as CatalystMartha Russell
Across the globe, new word-of-mouth messaging methods are emerging. Many of these involve new technologies. The strategic use of media has become a game changer for both local and global businesses. Traditional media platforms are outpaced by the speed of flash movements as they unfold. Technical discoveries outpace the scientific journals available to announce them. Journalists, entertainers, academics, scientists, and citizens are experimenting with new tools and platforms for content creation, consumption and curation.
When the news about Tahir Square, or Occupy Wall Street or, more recently the Brazilian protests, hit the headlines of newspapers and magazines, they were already outdated. Documentaries were equally incapable of tracking and fully describing these movements. Traditional narratives – and the technologies used to tell them - fall short of accurately portraying the ideas and behaviors that are emerging through new modes of communication. Information travels so fast, that news is no longer "new". Ubiquitous media disintermediates traditional business ecosystems. And every company must take on roles of a media company.
The world of digital content is experiencing an explosion of innovation in both creation and consumption of media. It may well have been consumer applications that ignited the transformation, but business, enterprise and government interests have joined the party. Across the entire innovation ecosystem of media, new technologies and new uses of it by people are creating a sea change in the way people participate and in the responses they expect, Streaming coverage, both amateur and professional – both business and community, is powered by cutting edge technology in combinations of smartphones, 4G, drone cameras and, even, Google Glass can report on events and movements, products and services. The new role of the Chief Digital Officer has emerged in many organizations - to help management bridge the changing roles usually played by Chief Information Officers, Chief Marketing Officers, and Chief Technology Officers.
Labs affiliated with mediaX at Stanford University study how people and information technology interact. We invite discovery collaborations on the future of content for business, education, and entertainment.
This work is about how both private enterprise and government wish to improve their data value and how they deal with this issue. The talk summarizes the way of thinking about Big Data, Open Data and their use by organizations or individuals. Big Data is explained from collecting, storing, analyzing and put in value. This data is collected from numerous sources including sensor networks, government data holdings, company market databases, and public profiles on social networking sites. Organizations use many data analytical techniques to study both structured and unstructured data. Due to the volume, velocity and variety of data, some specific techniques have been developed. MapReduce, Hadoop and other related as RHadoop are trending topic nowadays.
Data which come from government must be open. Every day more and more cities and countries are opening their data. Open Data is then presented as a specific case of public data with a special role in Smartcity. The main goal of Big and Open Data in Smartcity is to develop systems which can be useful for citizens. In this sense RMap (Mapa de Recursos) is shown as an Open Data application, an open system for Madrid City Council, avalaible for smarthphones and totally developed by the researching group G-TeC (www.tecnologiaUCM.es).
Sirris innovate2011 - Smart Products with smart data - introduction, Dr. Elen...Sirris
This lecture highlights current trends, challenges and opportunities related to the emergence of large amounts of data. It also presents Sirris’s recent research activities in this domain.
NIH Data Commons - Note: Presentation has animations Vivien Bonazzi
Presented at the Data Commons & Data Science Workshop (University of Chicago - Centre for Data Intensive Science):
NB- there are animations in these slides so static slides might not view well
The document discusses the Internet of Things (IoT) and some of the key challenges. It notes that IoT data is multi-modal, distributed, heterogeneous, noisy and incomplete. It raises issues around data management, actuation and feedback, service descriptions, real-time analysis, and privacy and security. The document outlines research challenges around transforming raw data to actionable information, machine learning for large datasets, making data accessible and discoverable, and energy efficient data collection and communication. It emphasizes that IoT data integration requires solutions across physical, cyber and social domains.
MapReduce allows distributed processing of large datasets across clusters of computers. It works by splitting the input data into independent chunks which are processed by the map function in parallel. The map function produces intermediate key-value pairs which are grouped by the reduce function to form the output data. Fault tolerance is achieved through replication of data across nodes and re-executing failed tasks. This makes MapReduce suitable for efficiently processing very large datasets in a distributed environment.
Enabling the physical world to the Internet and potential benefits for agricu...Andreas Kamilaris
The Internet of Things (IoT) allows physical devices that live inside smart homes, offices, roads, electricity networks and city infrastructures to seamlessly communicate through the Internet while the forthcoming Web of Things (WoT) ensures interoperability at the application level through standardized Web technologies and protocols. In this presentation, we explain the concepts of the IoT and the WoT and their potential through various applications in the aforementioned domains. Then, we examine how the IoT/WoT can be used in the agri-food industry in order to enable novel smart farming technologies and applications,considering the recent technological opportunities for big data analysis.
Hypermedia-driven Socio-technical Networks for Goal-driven Discovery in the W...Andrei Ciortea
To cope with dynamic environments, Internet of Things (IoT) applications are expected to autonomously discover and interact with services at runtime in pursuit of design or user-specified goals. On the one hand, various paradigms and technologies are available to program goal-driven autonomous software agents, and on the other hand hypermedia-driven environments are central to the development of robust machine-to-machine applications. However, existing approaches for the development of hypermedia-driven environments fall short of meeting the needs of autonomous agents: they either severely restrict the agents’ autonomy, or their topological structure is either fragmented or inefficient to navigate at scale. In this paper, we explore the use of socio-technical networks, that is networks of people and things interrelated in a meaningful manner via typed relations, as an overlay for enhancing hypermedia-driven interaction in IoT environments. We present a proof of concept and discuss several classes of applications in which this model could prove useful.
Objectives: 1. Gain an understanding of key trends in ICT innovation which are influencing/disrupting crisis informatics. 2. Be able to trace these trends through discussions later this semester, and understand their influence and potential. 3. Introduce visualization lab
Towards long-term preservation of linked data - the PRELIDA projectPRELIDA Project
This document summarizes a presentation about preserving linked data over the long term. It introduces the PRELIDA project, which aims to bridge the digital preservation and linked data communities. The presentation discusses what digital preservation can provide for linked data, such as file format standards, archival storage services, and documentation practices. It also outlines challenges for preserving linked data, like its dynamic and distributed nature. The PRELIDA project seeks to address these challenges through research and bringing the communities together.
Real World Internet, Smart Cities and Linked Data: Mirko Presser (Alexandrea ...FIA2010
The document discusses challenges facing cities like urbanization, aging populations, and climate change, and how a "smart city" approach using real-time data from sensors could help address these issues in a more cost effective way. It describes the "real world internet" concept of connecting physical objects to the digital world using RFID and sensors. Key challenges of this approach are handling large and heterogeneous data streams while ensuring privacy, security, and interoperability. The document advocates using semantic web and linked data techniques to annotate and integrate real-world sensor data.
Similaire à Enabling Smarter Cities through Internet of Things, Web of Data & Citizen Participation (20)
In the era of digital transformation, the concept of Digital Twins has emerged as a revolutionary approach to managing and optimizing the lifecycle of physical assets, systems, and processes. This talk delves into the transformative potential of Digital Maintenance in the Digital Twin Era, highlighting the seamless integration of digital replicas with real-world operations to foster unprecedented levels of efficiency, predictability, and sustainability in maintenance practices. We will explore how Digital Twins serve as dynamic, real-time reflections of physical assets, allowing for meticulous monitoring, analysis, and simulation. Through vivid examples, we'll demonstrate the benefits of this paradigm, such as predictive maintenance, which leverages data analytics and machine learning to anticipate failures and optimize maintenance schedules, thereby reducing downtime and extending asset lifespan. Further, the talk will showcase the role of Digital Twins in facilitating remote maintenance operations. By providing a comprehensive, virtual view of assets, maintenance professionals can perform diagnostics and identify issues without being physically present, enhancing safety and reducing response times. We'll also explore the environmental benefits of Digital Maintenance within the Digital Twin framework. By optimizing maintenance schedules and operations, organizations can significantly reduce their carbon footprint and resource consumption, contributing to more sustainable industrial practices. Finally, the presentation will highlight case studies from various industries, including manufacturing, energy, and transportation, where the adoption of Digital Twins has led to substantial cost savings, improved operational efficiency, and enhanced decision-making processes. These examples will illustrate the tangible value and competitive advantage that Digital Maintenance in the Digital Twin Era offers to forward-thinking organizations.
Large Techno Social Systems (LTSS) involve leveraging technological advancements and digital platforms to improve access to essential services, enhance quality of life, and ensure social inclusivity. In LTSS, people cannot be mere users of networked technologies and services designed for optimization purposes. Their behaviour should become one of the key levers for designing technologies turning them into real “Smart citizens” that teach their surrounding environment (and embedded devices) but learn reciprocally from it. LTSS can be realized by promoting smart communities which leverage technology, data, and innovation to improve the quality of life for its residents, enhance sustainability, and optimize the use of resources. Human-centric technology can empower citizens to actively engage in societal decision-making processes, participate in deliberative systems, and contribute to societal welfare. On the other hand, technological advancements, including data analytics and artificial intelligence, can inform evidence-based policymaking and planning processes. Indeed, digital technologies have the potential to influence human behaviour change by providing information, personalized feedback, social support, targeted interventions, and opportunities for learning. This work explores two approaches to realize LTSS driven smart communities that leverage digital technologies to achieve a higher collaboration and reciprocal learning between machines and people. On one hand, co-production in smart communities promotes behaviour change by empowering citizens in the co-design and co-delivery process, designing user-centric solutions, leveraging local knowledge, fostering collaboration, and facilitating capacity building. On the other hand, Citizen Science can inspire and enable behaviour change that leads to more sustainable, responsible, and community-oriented actions by promoting awareness, empowering individuals, and facilitating collaboration.
The document summarizes the first iteration of pilots for the INTERLINK project. It provides highlights from three pilot projects in Italy, Latvia, and Spain. Over 62 resources were added to the INTERLINK catalogue and three co-production schemas were created. Evaluation activities identified areas for improvement in the platform's usability and features. Pilots provided feedback on motivation, documentation, and functionality to enhance future iterations. The document outlines lessons learned from the initial pilot testing of the INTERLINK collaborative environment and co-production approaches.
The document discusses the Hercules project, which is funded 80% by the European Regional Development Fund (ERDF) to create an ontological infrastructure for integrating research information across Spanish universities. The goals are to improve knowledge management and dissemination, increase transparency and collaboration. It describes the ERDF's 4.37 million euro contribution through the Ministry of Economy to support the project from 2017-2022. It then provides details on the project's semantic architecture and ontologies, which aim to normalize researcher CVs, integrate data from multiple university systems and external sources, and develop tools like a national research portal and CV management system to achieve the goals.
realizing human-centric innovation around public services
From data collector to co-researcher - how to successfully collaborate with society
Delivered to UNIC CityLab 10 November 2022, 10:00-12:00, https://unic.eu/en
Towards more citizen-centric and sustainable public services
INTERLINK co-production methodology
INTERLINK’s key principles and concepts
INTERLINK Collaborative Environment
INTERLINK: co-production of public services
A public service is an aggregation of all activities that realize a public authority's commitment to make available to individuals, businesses, or other public authorities some capabilities intended to answer their needs, giving them some possibilities to control whether, how and when such capabilities are manifested
Co-production is defined as the process in which services are jointly designed and/or delivered by public authorities and other stakeholders
Internet of People is a new computing paradigm designed to enable Smart Sustainable Places which follow Social Good principles
Smart Sustainable Places =
IoT +
Big Data +
Blockchain +
People Participation through CO-PRODUCTION
The document summarizes REACH, a European incubator program that aims to boost data-driven innovation. Over 3 years, REACH will select and fund over 100 startups and SMEs through 11-month incubation programs. It will connect these companies with large corporations and Digital Innovation Hubs to help develop new Data Value Chains. The incubator seeks to break down data silos and enable multi-stakeholder collaboration across sectors to generate sustainable solutions using data analytics. DIHs play a key role by defining challenges, sharing relevant regional data, and supporting startups throughout the incubation process.
The document discusses the role of data incubators in shaping European Data Spaces. It describes the European Data Incubator (EDI) project which incubated over 100 startups and SMEs working with data from 30 providers over 3 rounds. EDI helped broker data sharing agreements and connect companies to investors. The REACH incubator builds on EDI's work, facilitating cross-sector experimentation through an 11-month program involving startups, large corporations, and Digital Innovation Hubs to develop trusted and secure data solutions. REACH aims to demonstrate how data silos can be broken by enabling multi-stakeholder collaboration across industries.
The document discusses FAIR (Findable, Accessible, Interoperable, Reusable) principles for data and their implementation. It describes the origins of FAIR, defines what makes data FAIR, and discusses tools for evaluating FAIRness like FAIRsharing and FAIR metrics. It also outlines a strategy for implementing FAIR metrics in the ASIO project, including developing a bridge between ASIO and FAIRmetrics and using it to evaluate resources and ASIO's ontology network for FAIR compliance.
What is linked data
What is open data
What is the difference between linked and open data
How to publish linked data (5-star schema)
The economic and social aspects of linked data.
Introducción a la Web de Datos
Grafos de Conocimiento
Web Semántica
Ontologías
Linked Data: Wikidata & Dbpedia
Ontología ROH: Red de Ontologías Hércules
Proceso de diseño de la ontología
Descripción de la ontología en detalle
Entidades principales explicadas en base a casos de uso
1. AUDABLOK is a framework that uses blockchain and human computation to engage citizens in refining open government data on an ongoing basis. It integrates Ethereum blockchain with the CKAN open data platform.
2. Citizens can make "pull requests" to improve open data through a collaborative process incentivized by a token economy on the blockchain. This provides recognition and rewards to motivate sustained participation.
3. The system registers citizen data refinement activities on the blockchain for transparency. This enables new business models leveraging open data and citizen contributions.
The document summarizes the European Data Incubator (EDI) project. EDI will incubate over 140 startups and SMEs using big data tools over three iterations from 2018-2021 with €7.7 million in funding. It will provide infrastructure, tools, training, and business support to help startups develop MVPs and generate businesses addressing challenges in various industries. The incubation process involves an open call, explore, experiment, and evolve phases for selected startups. EDI aims to build an ecosystem of over 3,000 stakeholders and leverage results to enable big data experimentation and business generation in Europe.
Plus de Diego López-de-Ipiña González-de-Artaza (20)
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Enabling Smarter Cities through Internet of Things, Web of Data & Citizen Participation
1. 1
Enabling Smarter Cities through Internet of
Things, Web of Data & Citizen Participation
UCLM, Ciudad Real, 4 de Noviembre de 2015, 11:45-12:30
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://paginaspersonales.deusto.es/dipina
http://www.morelab.deusto.es
2. 2
Agenda
• Smarter Cities pillars:
– Internet of Things
– Web of Data
– Crowdsourcing
• Interdependence analysis:
– Society ageing
– Societal urbanisation
• Enablement of Smarter Inclusive Cities
3. 3
Internet of Things (IoT) Promise
• There will be around 25 billion devices connected to the
Internet by 2015, 50 billion by 2020
– A dynamic and universal network where billions of identifiable
“things” (e.g. devices, people, applications, etc.) communicate
with one another anytime anywhere; things become context-
aware, are able to configure themselves and exchange
information, and show “intelligence/cognitive” behaviour
4. 4
Internet of Things: Challenges
1. To process huge amounts of data supplied by “connected
things” and to offer services as response
2. To research in new methods and mechanisms to find,
retrieve, and transmit data dynamically
– Discovery of sensor data — both in time and space
– Communication of sensor data: complex queries (synchronous),
publish/subscribe (asynchronous)
– Processing of great variety of sensor data streams: correlation,
aggregation and filtering
3. Ethical and social dimension: to keep the balance between
personalization, privacy and security
5. 5
IoT Enabling Technologies
• Low-cost embedded computing and communication
platforms, e.g. Arduino or Rapsberry PI
• Wide availability of low-cost sensors and sensor networks
• Cloud-based Sensor Data Management Frameworks:
Xively, Sense.se
Democratization of Internet-connected Physical Objects
8. 8
Nature of Data in IoT
• Heterogeneity makes IoT devices hardly interoperable
• Data collected is multi-modal, diverse, voluminous
and often supplied at high speed
• IoT data management imposes heavy challenges on
information systems
9. 9
User-generated Data: Google Maps vs.
Open Street Map
• OSM is an excellent cartographic product driven by user contributions
• Google Maps has progressed from mapping for the world to mapping from the world,
where cartography is not the end product, but rather the necessary means for:
– Google’s autonomous car initiative, combine sensors, GPS and 3D maps for self-driving cars.
– Google’s Project Wing: a drone-based delivery systems to make use of a detailed 3D model
of the world to quickly link supply to demand
• By connecting the geometrical content of its Google Maps databases to digital traces
that it collects, Google can assign meaning to space, transforming it into place.
– Mapping by machines if not about “you are here”, but to understand who you are, where
you should be heading, what you could be doing there!
10. 10
CrowdSensing
• Individuals with sensing and computing devices collectively
share data and extract information to measure and map
phenomena of common interest
11. 11
Personal Data
• Defined as "any information
relating to an identified or
identifiable natural person
("data subject")”
12. 12
Social Open Innovation
• Novel solution to a social problem that
is more effective, efficient, sustainable,
or just than current solutions.
– New ideas (products, services and models)
that simultaneously meet social needs and
create new social relationships
13. 13
CAPS: Collective-awareness Platforms
for Sustainability and Social Innovation
• Aims at designing and piloting online platforms creating
awareness of sustainability problems and offering
collaborative solutions based on networks (of people, of
ideas, of sensors), enabling new forms of social innovation.
• Examples:
– Open Democracy, Open Policy Making
– Collaborative/Shared Economy
– Collaborative making co-creation
14. 14
Linked Data
• “A term used to describe a recommended best practice for
exposing, sharing, and connecting pieces of data, information,
and knowledge on the Semantic Web using URIs and RDF.“
• Allows to discover, connect, describe and reuse all sorts of data
– Fosters passing from a Web of Documents to a Web of Data
• In September 2011, it had 31 billion RDF triples linked through 504 millions of
links
• Thought to open and connect diverse vocabularies and semantic
instances, to be used by the Semantic community
• URL: http://linkeddata.org/
15. 15
Linked Data Principles
1. Uses URIs to identify things
2. Uses HTTP URIs to enable those
things to be dereferenced by both
people and user agents
3. Provides useful info (structured
description and metadata) about a
thing/concept referenced by an URI
4. Includes links to other URIs to
improve related information
discovery in the web
16. 16
Linked Data Life Cycle
• Linked Data must go through several stages (several
iterations on Linkage) before are ready for exploitation:
17. 17
Linked Data by IoT Devices
• Modelling not only the sensors but also their features of
interest: spatial and temporal attributes, resources that
provide their data, who operated on it, provenance and so on
– With SSN, SWEET, SWRC, GeoNames, PROV-O, … vocabularies
18. 18
Avoiding Data Silos through
Semantics in IoT
• Cut-down semantics is applied to enable machine-
interpretable and self-descriptive interlinked data
– Integration – heterogeneous data can be integrated or one
type of data combined with other
– Abstraction and access – semantic descriptions are
provided on well accepted ontologies such as SSN
– Search and discovery – resulting Linked Data facilitates
publishing and discovery of related data
– Reasoning and interpretation –new knowledge can be
inferred from existing assertions and rules
19. 19
Actionable Knowledge from
Linked Data
• Don’t care about the data sources (sensors) care about
knowledge extracted from their data correlation &
interpretation!
– Data is captured, communicated, stored, accessed and shared
from the physical world to better understand the surroundings
– Sensory data related to different events can be analysed,
correlated and turned into actionable knowledge
– Application domains: e-health, retail, green energy,
manufacturing, smart cities/houses
20. 20
Towards Actionable Knowledge:
Converting to and Visualizing Open Data
• labman: data management system for research organizations which
enables to correlate researchers, publications, projects, funding, news …
– http://www.morelab.deusto.es
• euro e-lecciones, social data mining in Twitter to visualize trends for the
last European elections
– http://apps.morelab.deusto.es/eu_elections
• teseo, conversion and visualization of the distribution by genre and topics
of PhD dissertations in Spain. These data was extracted from site
https://www.educacion.gob.es/teseo/irGestionarConsulta.do
– http://apps.morelab.deusto.es/teseo
• intellidata, bank transaction analysis in different streets and
neighborhoods in Madrid and Barcelona
– http://apps.morelab.deusto.es/intellidata/
22. 22
Bringing together IoT and Linked Data:
Sustainable Linked Data Coffee Maker
• Hypothesis: “the active collaboration of people and
Eco-aware everyday objects will enable a more
sustainable/energy efficient use of the shared
appliances within public spaces”
• Contribution: An augmented capsule-based coffee
machine placed in a public spaces, e.g. research
laboratory
– Continuously collects usage patterns to offer
feedback to coffee consumers about the energy
wasting and also, to intelligently adapt its
operation to reduce wasted energy
• http://socialcoffee.morelab.deusto.es/
23. 23
Social + Sustainable + Persuasive +
Cooperative + Linked Data Device
1. Social since it reports its energy consumptions via social
networks, i.e. Twitter
2. Sustainable since it intelligently foresees when it should be
switched on or off
3. Persuasive since it does not stay still, it reports misuse and
motivates seductively usage corrections
4. Cooperative since it cooperates with other devices in order
to accelerate the learning process
5. Linked Data Device, since it generates reusable energy
consumption-related linked data interlinked with data from
other domains that facilitates their exploitation
25. 25
What is Big Data?
• "Big Data are high-volume, high-velocity, and/or
high-variety information assets that require new
forms of processing to enable enhanced decision
making, insight discovery and process optimization“
Gartner, 2012
– Opportunity to encounter insights in new and emerging
data streams and contents and to answer previously
considered beyond the scope questions
• Enabled by Open Source frameworks such as Hadoop
and Spark
26. 26
Features of Big Data
• The structure (or lack thereof) and size of Big Data
that makes it so unique
• Represents both significant information and the way
this information is analyzed
– "Big Data" represents a noun – "the data" - and a verb –
"combing the data to find value.“
• Interpretation of Big Data can bring about insights
which might not be immediately visible or which
would be impossible to find using traditional
methods.
27. 27
Why Big Data?
• We're generating more content than ever before, but in
many cases it leads to more questions and fewer answers.
– What is happening in the atmosphere?
– Which candidate do voters prefer?
– Which movies, books, and TV shows are going to satiate the public's
appetite?
– Which trends are coming down the road?
• Technology can drive the business:
– Finding "competitive advantages," getting "data on the board's
agenda" and driving "innovative products and startups.“
• http://econsultancy.com/es/blog/63365-three-reasons-why-big-data-is-
awesome
30. 30
The need for Smart Cities
• Challenges cities face today:
– Growing population
• Traffic congestion
• Space – homes and public space
– Resource management (water and energy use)
– Global warming (carbon emissions)
– Tighter city budgets
– Aging infrastructure and population
31. 31
Society Urbanisation & Ageing
• Urban populations will grow by an estimated 2.3 billion over the
next 40 years, and as much as 70% of the world’s population will
live in cities by 2050
[World Urbanization Prospects, United Nations, 2011]
• By 2060, 30% of European population will be 65 years or older
[EUROSTAT. Demography report 2010. “Older, more numerous and diverse Europeans”, March 2011.]
32. 32
What is a Smart City?
• Smart Cities improve the efficiency and
quality of the services provided by governing
entities and business and (are supposed to)
increase citizens’ quality of life within a city
– This view can be achieved by leveraging:
• Available infrastructure such as Open Government
Data and deployed sensor networks in cities
• Citizens’ participation through apps in their
smartphones
– Or go for big companies’ “smart city in a box”
solutions
33. 33
What is a Smart Sustainable City?
A smart sustainable city is an innovative city that uses
information and communication technologies and
other means to improve quality of life, efficiency of
urban operation and services, and competitiveness,
while ensuring that it meets the needs of present and
future generations with respect to economic, social and
environmental aspects
https://itunews.itu.int/en/5215-What-is-a-smart-sustainable-city.note.aspx
36. 36
What is an Ambient
Assisted City?
• A city aware of the special needs of ALL its citizens,
particularly those with disabilities or about to lose
their autonomy:
– Elderly people
• The "Young Old" 65-74
• The "Old" 75-84
• The "Oldest-Old" 85+
– People with disabilities
• Physical
• Sensory (visual, hearing)
• Intellectual
37. 37
Age-friendly Smarter Cities
• The main attribute of a Smart City is efficiency
• An Age-friendly city is an inclusive and accessible
urban environment that promotes active ageing
• The main attributes of an Ambient Assisted
(Smarter) City are:
– Livable
– Accessible
– Healthy
– Inclusive
– Participative
[WHO Global Network of Age-friendly Cities]
39. 39
The need for Participative Cities
• Not enough with the traditional resource efficiency
approach of Smart City initiatives
• “City appeal and dynamicity” will be key to attract and
retain citizens, companies and tourists
• Only possible by user-driven and centric innovation:
– The citizen should be heard, EMPOWERED!
» Urban apps to enhance the experience and interactions of the
citizen, by taking advantage of the city infrastructure
– The information generated by cities and citizens must be linked
and processed
» How do we correlate, link and exploit such humongous data for all
stakeholders’ benefit?
• We should start talking about Big (Linked) Data
40. 40
• Smart Cities seek the participation of citizens:
– To enrich the knowledge gathered about a city
not only with government-provided or networked
sensors' provided data, but also with highly
dynamic user-generated data
• BUT, how can we ensure that users and their
generated data can be trusted and has enough
quality?
– W3C has created the PROV Data Model, for provenance
interchange
Citizen Participation
41. 41
• There is a need to analyze the impact that
citizens may have on improving, extending
and enriching the data
– Quality of the provided data may vary from one
citizen to another, not to mention the possibility
of someone's interest in populating the system
with fake data
• Duplication, miss-classification, mismatching and data
enrichment issues
Problems associated to
User-provided Data
42. 42
Urban Intelligence / Analytics
• Broad Data aggregates data from heterogeneous sources:
– Open Government Data repositories
– User-supplied data through social networks or apps
– Public private sector data or
– End-user private data
• Humongous potential on correlating and analysing Broad
Data in the city context:
– Leverage digital traces left by citizens in their daily interactions
with the city to gain insights about why, how and when they do
things
– We can progress from Open City Data to Open Data Knowledge
• Energy saving, improve health monitoring, optimized transport
system, filtering and recommendation of contents and services
43. 43
Smarter Cities
• Smarter Cities cities that do not only manage their
resources more efficiently but also are aware of the
citizens’ needs.
– Human/city interactions leave digital traces that can be
compiled into comprehensive pictures of human daily facets
– Analysis and discovery of the information behind the big
amount of Broad Data captured on these smart cities
deployment
Smarter Cities= Internet of Things + Linked Data + citizen
participation through Smartphones + Urban Analytics
44. 44
Data challenges of Smart
Cities
• Data coverage and access (openness)
• Data integration and interoperability (data standards) –
overcoming the silo and resistance to change
• Data quality and provenance: veracity (accuracy, fidelity),
uncertainty, error, bias, reliability, calibration, lineage
• Quality, veracity and transparency of data analytics
• Data interpretation and management issues
• Paradigm shift towards data-driven decision making
• Security and privacy: stem data breaches and fraud
• Skills and organizational capabilities and capacities
47. 47
Standardization in Smart Cities:
Vocabularies and Indicators
• UNE 178301 rule developed by AENOR (Spanish Association of
Normalization and Certification) establishes a set of requisites for the
reuse of Open Data generated by Public Administrations in Smart Cities.
– http://www.aenor.es/aenor/actualidad/actualidad/noticias.asp?campo=1&codigo=3526
4#.VjmsffmrQU1
• ISO 37120:2014 indicators a) themes and b) energy example
49. 49
IES Cities Project
• The IES Cities project promotes user-centric
mobile micro-services that exploit open data
and generate user-supplied data
– Hypothesis: Users may help on improving, extending
and enriching the open data in which micro-services
are based
• Its platform aims to:
– Enable user supplied data to complement, enrich and
enhance existing datasets about a city
– Facilitate the generation of citizen-centric apps that
exploit urban data in different domains
European CIP project
2013-2016, Zaragoza &
Majadahonda involved
http://iescities.eu
50. 50
IES Cities Stakeholders
• Citizens:
– Users collaborate in the definition of the digital entity of the city.
– Citizen produce and consumes contents (super-prosumer concept).
• SMEs:
– IES Cities will allow the creation of services benefiting the local businesses.
• ICT-developing companies:
– The platform will enable the chance to create new apps and services based on
user needs, bringing new possibilities and added value.
• Public administration:
– The interaction with the users will enable them to improve and foster the use of
their deployed sensors in urban areas and open databases
51. 51
IES Cities Objectives
• To create a new open-platform adapting the technologies and over taking
the knowledge from previous initiatives.
• To validate and test a set of predefined urban apps across the cities.
• To validate, analyse and retrieve technical feedback from the different
pilots in order to detect and solve the major incidences of the technical
solutions used in the cities.
• To adequately achieve engagement of users in the pilots and measure
their acceptability during the validations.
• To maximize the impact of the project through adequate dissemination
activities and publication of solutions upon a Dual-license model.
55. 55
What´s WeLive (I)
A novel We-Government ecosystem of tools (Live) that is
easily deployable in different PA and which promotes co-
innovation and co-creation of personalised public services
through public-private partnerships and the
empowerment of all stakeholders to actively take part in
the value-chain of a municipality or a territory
Open Data Open Services Open Innovation
H2020 project
2015-2017,
Bilbao council involved
http://welive.eu
56. 56
What´s WeLive (II)
Stakeholder Collaboration + Public-private Partnership
IDEAS >> APPLICATIONS >> MARKETPLACE
WeLive offers tools to transform the needs into ideas
Tools to select the best Ideas and create the B. Blocks
A way to compose the
Building Blocks into mass
market Applications which
can be exploited through
the marketplace
57. 57
WeLive proposes…
Transform the current e-government approach into…
WeLive Open and Collaborative Government Solution = We-
government + t-government + I-government + m-government
We-
All stakeholders
are treated as
peers and
prosumers
t-
Providing
Technology
tools to create
public value
l-
To do more
with less by
involving other
players and the
PA as
orchestrator
m-
Utilisation of
mobile tech. for
public services
delivery
58. 58
Key Area WeLive Innovation and added value
Open Data
WeLive will provide an Open Data Toolset which will enable to handle the whole life cycle
of what is starting to be termed as Broad Data, i.e. a combination of Open Data, Social Data,
Big Data and private data.
• Open Data Toolset will provide tools to capture, transform, adapt, link, store, publish
and search for data which may be consumed by innovative public service apps.
Open
Services
Open Services Framework centred on two key abstractions, namely building blocks and
app templates.
• Factorize the capabilities offered by a city or its stakeholders as a set of building blocks
which can be easily combined with each other to give place to composite services.
• Exemplary service templates composed of several building blocks so that stakeholders
can personalize them and turn them into new public service app instances.
Open
Innovation
Tackle the whole innovation process phases: a) conceptualization, b) voting and
selection, c) funding, d) development and e) promotion and f) exploitation.
• WeLive will focus on how to pass from innovation to adoption, by democratizing the
creation process and fostering public-private partnership that will jointly exploit the
outcomes of the innovation process.
User-
centric
services
Personalization of public service apps based on user profile and context.
• A key element, named Citizen Data Vault, will represent a single sign-on point for a user
• Decision Engine will enable stakeholders to retrieve statistics about the usage and app
consumption and demand patterns of the different stakeholder groups.
• Visual Composer, a tool to enable every stakeholder, even citizens, to visually compose
their own services will be offered.
59. 59
WeLive Marketplace
(Java EE)
WeLive Player
Citizen Data Vault
(PubSubHubBub)
Decision Engine
(JBoss Drools 6)
Open Innovation Area
(Java EE)
Propose
Building blocks
Get profile
Update data
Building blocks
Data Mashup
Publish new
Building blocks
Idea generation
from citizen
Get Public Service
App
Use existing Building
Blocks
Idea
Generation
Idea evaluation
and selection
Idea
refinement
Idea
implementation NEED
Develop building
blocks/open service
from scratch
Visual composer
(HTML5/CSS3)
WeLive Vision/Architecture
60. 60
City4Age: Elderly-friendly City
services for active and healthy ageing
• Aims to act as a bridge between the European Innovation Partnerships (EIP)
on Smart Cities and Communities & Active and Healthy Ageing (EIP AHA)
• Demonstrate that Cities play a pivotal role in the unobtrusive collection of
“more data”and with “increased frequency” for comprehending individual
behaviours and improving the early detection of risks
H2020 project 2016-
2018, PHC 21, Madrid is
involved
61. 61
SIMPATICO
• Addresses the need to offer a
more efficient and more effective
experience to companies and
citizens in their daily interaction
with Public Administration (PA)
– Providing a personalized delivery of
e- services based on advanced
cognitive system technologies and by
promoting an active engagement of
people for the continuous
improvement of the interaction with
these services.
H2020 project
2016-2018, EURO6,
Xunta Galicia is involved
63. 63
I have a dream … the citizen-
empowered inclusive City
• Smart Cities must ensure social equity, economic viability
and environmental sustainability, enabled by:
– IoT: Smart Objects, e.g. enabling technology for inclusive cities which
allows to collect data, e.g. people transiting through a given area
– Web of Data: Open Data from a given council should be linked to real-
time data gathered by sensor data (physical) and prosumed data by
users (virtual sensors) BROAD DATA
– Citizen participation: smartphones running Location-aware Open
Data apps which recommend to surrounding citizens and visitors
according to their profile and capabilities
• User-conscious apps should adapt to the capabilities of different users,
their devices and current context
64. 64
I have a dream … the citizen-
empowered inclusive City
65. 65
Enabling Smarter Cities through Internet of
Things, Web of Data & Citizen Participation
UCLM, Ciudad Real, 4 de Noviembre de 2015, 11:45-12:30
Dr. Diego López-de-Ipiña González-de-Artaza
dipina@deusto.es
http://paginaspersonales.deusto.es/dipina
http://www.morelab.deusto.es
66. 66
References
• Innovating the Smart Cities, Syam Madanapalli | IEEE Smart Tech
Workshop 2015, http://www.slideshare.net/smadanapalli/innovating-the-
smart-cities
• Kitchin, R., Lauriault, T. and McArdle, G. (2015) Knowing and governing
cities through urban indicators, city benchmarking and real-time
dashboards. Regional Studies, Regional Science 2: 1-28,
http://rsa.tandfonline.com/doi/full/10.1080/21681376.2014.983149
• Towards Smart City: Making Government Data Work with Big Data
Analysis, Charles Mok, 24 September 2015,
http://www.slideshare.net/mok/towards-smart-city-making-government-
data-work-with-big-data-analysis-53176591
• Mining in the Middle of the City: The needs of Big Data for Smart Cities, Dr.
Antonio Jara, http://www.slideshare.net/IIG_HES/mining-in-the-middle-
of-the-city-the-needs-of-big-data-for-smart-cities
67. 67
References
• ITU News – What is a smart sustainable city?,
https://itunews.itu.int/en/5215-What-is-a-smart-sustainable-
city.note.aspx
• Frost & Sullivan's Predictions for the Global Energy and
Environment Market,
http://www.slideshare.net/FrostandSullivan/frost-sullivans-
predictions-for-the-global-energy-and-environment-market