Talk about schema.org at ISWC2012. Covering what is schema.org, how it is used in Yandex (russian Google) and future plans.
Speakers: Peter Mika (Yahoo!), Alex Shubin (Yandex)
The Web Data Commons Microdata, RDFa, and Microformat Dataset Series @ ISWC2014Robert Meusel
The document describes a series of datasets created by parsing HTML pages to extract structured data in the form of Microdata, RDFa, and Microformats. It provides an overview of the datasets created in 2010, 2012, and 2013, which contain over 30 billion RDF quads extracted from over 1.7 million domains. The datasets are hosted online and provide insights into the usage of different vocabularies and markup languages as well as opportunities for applying and analyzing the large-scale structured web data.
A workshop presented by Arden Kirkland at the 2017 annual symposium of the Costume Society of America, about best practices for metadata, controlled vocabularies, and research data management for costume history collections.
NISO Webinar:
Experimenting with BIBFRAME: Reports from Early Adopters
About the Webinar
In May 2011, the Library of Congress officially launched a new modeling initiative, Bibliographic Framework Initiative, as a linked data alternative to MARC. The Library then announced in November 2012 the proposed model, called BIBFRAME. Since then, the library world is moving from mainly theorizing about the BIBFRAME model to attempts to implement practical experimentation and testing. This experimentation is iterative, and continues to shape the model so that it’s stable enough and broadly acceptable enough for adoption.
In this webinar, several institutions will share their progress in experimenting with BIBFRAME within their library system. They will discuss the existing, developing, and planned projects happening at their institutions. Challenges and opportunities in exploring and implementing BIBFRAME in their institutions will be discussed as well.
Agenda
Introduction
Todd Carpenter, Executive Director, NISO
Experimental Mode: The National Library of Medicine and experiences with BIBFRAME
Nancy Fallgren, Metadata Specialist Librarian, National Library of Medicine, National Institutes of Health, US Department of Health and Human Services (DHHS)
Exploring BIBFRAME at a Small Academic Library
Jeremy Nelson, Metadata and Systems Librarian, Colorado College
Working with BIBFRAME for discovery and production: Linked data for Libraries/Linked Data for Production
Nancy Lorimer, Head, Metadata Dept, Stanford University Libraries
Data-driven Applications with conStructMike Bergman
Michael K. Bergman presented on the Bibliographic Knowledge Network (BKN) project. BKN aims to develop tools and services for scientific communities to select, filter and enhance bibliographic data. It uses a network of collaboration portals, gateways to external content, and dataset hubs. The core is a Drupal-based collaboration portal called a BKN node, which integrates a triplestore and search index to provide a structured dataset management environment. The presentation demonstrated a BKN node and described the data models, architecture, and benefits of the open source BKN software suite.
The document summarizes a workshop on protein-protein interaction data formats and ontologies. It discusses standards like PSI-MI which define formats for representing protein interaction data to facilitate sharing and integration. It also describes tools for working with PSI-MI data formats, including parsers for the XML and tabular formats, as well as the PSI-MI ontology which defines over 1,500 terms for annotating interaction data. Minimum information guidelines like MIMIx and data submission tools are also summarized.
The document discusses the Research and Education Space (RES) project, which aims to create a web-based platform called Acropolis that aggregates and interconnects cultural heritage resources from various institutions like the British Library, British Museum, BBC archive, and others. It describes Acropolis' technical approach of using crawlers, indexes, and APIs to make these resources searchable. It also outlines challenges around standardizing heterogeneous metadata, reliably linking entities, and usability issues regarding tools, licensing, and stakeholder engagement. The author is looking to provide guidance on publishing cultural data as linked open data to help address these challenges.
This document introduces LODE-BD (LOD-Enabled Bibliographic Data), a reference tool to help information professionals select appropriate encoding strategies for publishing bibliographic data as linked open data (LOD). LODE-BD provides decision trees to guide the selection of relevant metadata properties and terms from existing standards. It addresses key questions about encoding data for exchange and as LOD, and assists in choosing appropriate terms for different bibliographic properties and entities like titles, subjects, and responsible bodies. The goal is to promote standardized, interoperable LOD-ready bibliographic data.
This document summarizes a presentation on trends in technical services for cataloging and metadata librarians. It discusses how the role of catalogers is expanding beyond bibliographic description to include tasks like metadata application, data sharing, and standard development. The document also covers transitions in the field, such as moving from AACR2 to RDA rules and the potential role of linked data. Challenges discussed include implementing RDA, training staff, and maintaining shared catalogs as new approaches are developed.
The Web Data Commons Microdata, RDFa, and Microformat Dataset Series @ ISWC2014Robert Meusel
The document describes a series of datasets created by parsing HTML pages to extract structured data in the form of Microdata, RDFa, and Microformats. It provides an overview of the datasets created in 2010, 2012, and 2013, which contain over 30 billion RDF quads extracted from over 1.7 million domains. The datasets are hosted online and provide insights into the usage of different vocabularies and markup languages as well as opportunities for applying and analyzing the large-scale structured web data.
A workshop presented by Arden Kirkland at the 2017 annual symposium of the Costume Society of America, about best practices for metadata, controlled vocabularies, and research data management for costume history collections.
NISO Webinar:
Experimenting with BIBFRAME: Reports from Early Adopters
About the Webinar
In May 2011, the Library of Congress officially launched a new modeling initiative, Bibliographic Framework Initiative, as a linked data alternative to MARC. The Library then announced in November 2012 the proposed model, called BIBFRAME. Since then, the library world is moving from mainly theorizing about the BIBFRAME model to attempts to implement practical experimentation and testing. This experimentation is iterative, and continues to shape the model so that it’s stable enough and broadly acceptable enough for adoption.
In this webinar, several institutions will share their progress in experimenting with BIBFRAME within their library system. They will discuss the existing, developing, and planned projects happening at their institutions. Challenges and opportunities in exploring and implementing BIBFRAME in their institutions will be discussed as well.
Agenda
Introduction
Todd Carpenter, Executive Director, NISO
Experimental Mode: The National Library of Medicine and experiences with BIBFRAME
Nancy Fallgren, Metadata Specialist Librarian, National Library of Medicine, National Institutes of Health, US Department of Health and Human Services (DHHS)
Exploring BIBFRAME at a Small Academic Library
Jeremy Nelson, Metadata and Systems Librarian, Colorado College
Working with BIBFRAME for discovery and production: Linked data for Libraries/Linked Data for Production
Nancy Lorimer, Head, Metadata Dept, Stanford University Libraries
Data-driven Applications with conStructMike Bergman
Michael K. Bergman presented on the Bibliographic Knowledge Network (BKN) project. BKN aims to develop tools and services for scientific communities to select, filter and enhance bibliographic data. It uses a network of collaboration portals, gateways to external content, and dataset hubs. The core is a Drupal-based collaboration portal called a BKN node, which integrates a triplestore and search index to provide a structured dataset management environment. The presentation demonstrated a BKN node and described the data models, architecture, and benefits of the open source BKN software suite.
The document summarizes a workshop on protein-protein interaction data formats and ontologies. It discusses standards like PSI-MI which define formats for representing protein interaction data to facilitate sharing and integration. It also describes tools for working with PSI-MI data formats, including parsers for the XML and tabular formats, as well as the PSI-MI ontology which defines over 1,500 terms for annotating interaction data. Minimum information guidelines like MIMIx and data submission tools are also summarized.
The document discusses the Research and Education Space (RES) project, which aims to create a web-based platform called Acropolis that aggregates and interconnects cultural heritage resources from various institutions like the British Library, British Museum, BBC archive, and others. It describes Acropolis' technical approach of using crawlers, indexes, and APIs to make these resources searchable. It also outlines challenges around standardizing heterogeneous metadata, reliably linking entities, and usability issues regarding tools, licensing, and stakeholder engagement. The author is looking to provide guidance on publishing cultural data as linked open data to help address these challenges.
This document introduces LODE-BD (LOD-Enabled Bibliographic Data), a reference tool to help information professionals select appropriate encoding strategies for publishing bibliographic data as linked open data (LOD). LODE-BD provides decision trees to guide the selection of relevant metadata properties and terms from existing standards. It addresses key questions about encoding data for exchange and as LOD, and assists in choosing appropriate terms for different bibliographic properties and entities like titles, subjects, and responsible bodies. The goal is to promote standardized, interoperable LOD-ready bibliographic data.
This document summarizes a presentation on trends in technical services for cataloging and metadata librarians. It discusses how the role of catalogers is expanding beyond bibliographic description to include tasks like metadata application, data sharing, and standard development. The document also covers transitions in the field, such as moving from AACR2 to RDA rules and the potential role of linked data. Challenges discussed include implementing RDA, training staff, and maintaining shared catalogs as new approaches are developed.
The document welcomes principal investigators to an overview of the XC project. XC aims to provide an alternative way to reveal library collections through an open source, collaborative platform that can handle multiple metadata schemas and was informed by user research. The vision is to address the needs of many libraries through a flexible and extensible platform. Phase 1 of XC, funded by the Mellon Foundation, involves developing a detailed project plan to build the XC system in phase 2 and establishing a community of partners through outreach and a needs survey.
This document summarizes a webinar on deploying Resource Description and Access (RDA) cataloging and expressing it as linked data. The webinar speaker, Alan Danskin from the British Library, discussed RDA as a cataloging standard that provides guidelines for describing resources to support discovery. He explained how RDA works with linked data by using entities, relationships, and attributes expressed as URIs. Challenges in applying RDA as linked data include the complexity of the FRBR model and publishing RDA vocabularies as linked open data. Application profiles help apply RDA by defining the metadata elements, policies, and guidelines for a specific domain or community.
This presentation was given by Michael Lauruhn of Elsevier Labs during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.
The document provides an overview of knowledge graphs and the metaphactory knowledge graph platform. It defines knowledge graphs as semantic descriptions of entities and relationships using formal knowledge representation languages like RDF, RDFS and OWL. It discusses how knowledge graphs can power intelligent applications and gives examples like Google Knowledge Graph, Wikidata, and knowledge graphs in cultural heritage and life sciences. It also provides an introduction to key standards like SKOS, SPARQL, and Linked Data principles. Finally, it describes the main features and architecture of the metaphactory platform for creating and utilizing enterprise knowledge graphs.
The Library of Congress engaged in linked data efforts starting in 2009 and created its Linked Data Service. It contracted with Zepheira to develop the initial BIBFRAME model and vocabulary 1.0 with input from early experimenters. The Library of Congress conducted a pilot of BIBFRAME from October 2015 to March 2016 with 40 staff cataloging in both MARC and BIBFRAME. The pilot helped develop BIBFRAME and identified areas for improvement. The Library of Congress will continue to refine BIBFRAME 2.0 and conduct additional testing.
New product developments - Jennifer Lin - London LIVE 2017Crossref
The document discusses rethinking metadata to better connect scholarly works and enable transparency. It proposes three key areas: 1) Adding a new "Reviews" content type to link peer review assets like reports and responses. 2) Developing event data standards to aggregate metadata about publications and establish trust. 3) Citing data and software to provide proper credit and facilitate reproducibility. The goal is to improve infrastructure for scholarly discussion by making provenance, context and peer review processes more open and linked over time.
This presentation was given by Melanie Wacker of Columbia University during the NISO Virtual Conference, BIBFRAME and Real World Applications of Linked Bibliographic Data, held on June 15, 2016
This presentation was given by Ted Lawless of Thomson Reuters during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.
This document describes a Linked Data-driven approach for enabling interactions between smart space components and end users. It presents a reference platform architecture that uses semantic annotation, recommendation systems, and user-generated content management to retrieve and enrich information about smart space components from the Linked Data Cloud. An evaluation of the approach is implemented through a tourism use case in St. Petersburg, Russia involving recommendations of local points of interest.
Although the amount of Linked Data published on the web is steady increasing, its consumption is still mainly limited to technical users and domain experts. Thus, it is necessary to foster intuitive visualizations of Linked Data, in order to support users without a technical background. DBpedia Mobile Explorer is a visualization framework to enable non-experts to visualize Linked Data on mobile devices relying on DBpedia (the Linked Data version of Wikipedia).
Jana Parvanova, Vladimir Alexiev and Stanislav Kostadinov. In workshop Collaborative Annotations in Shared Environments: metadata, vocabularies and techniques in the Digital Humanities (DH-CASE 2013). Collocated with DocEng 2013. Florence, Italy, Sep 2013.
The webinar will be based on LODE-BD Recommendations - Linked Open Data (LOD)-enabled bibliographical data- which aims at providing bibliographic data providers of open repositories with a set of recommendations that will support the selection of appropriate encoding strategies for producing meaningful Linked Open Data (LOD)-enabled bibliographical data (LODE-BD).
Reading Group: From Database to DataspacesJürgen Umbrich
The document discusses the concept of dataspaces and dataspace support systems (DSSPs) as a new approach to data management. It describes dataspaces as loosely connected data sources of various formats that are not fully integrated but exist together. DSSPs are proposed to offer services like search, querying, monitoring, and discovery across heterogeneous dataspace participants with varying degrees of control and consistency guarantees. Key challenges discussed include data modeling and querying across different formats, automated discovery of relationships between data sources, and developing theoretical foundations.
The importance of metadata for datasets: The DCAT-AP European standardGiorgia Lodi
The document discusses metadata standards for datasets, including DCAT, DCAT-AP, and related standards. It provides 3 key points:
1. DCAT and DCAT-AP are metadata standards that provide models for describing datasets and their distributions in order to improve discoverability, interoperability, and reuse. DCAT-AP adds constraints to DCAT for use by European data portals.
2. DCAT-AP_IT is the Italian implementation of DCAT-AP, which extends it with additional mandatory properties and controlled vocabularies. It defines core classes and properties for catalogs, datasets, and distributions in RDF.
3. Future developments include DCAT version 2, which introduces new
This document discusses efforts to automatically detect data types to enable automatic data processing from large scientific data collections in the cloud. It presents two major processes in scientific data use: data discovery and data processing. Currently, data processing is typically done manually by checking data formats, structures, versions and quality. The document proposes automatically detecting data types using a data type registry connected to metadata about data via persistent identifiers, which would enable shifting from manual to automatic data processing. This could help outsiders process data without extensive expertise in a field's data schemes and tools.
The document discusses the Global Forest Domain Classification (GFDC) and its implementation in the Global Forest Information Service (GFIS). It notes that classifications are important for organizing information as they allow for "browsing" and creating ontologies and topic maps. GFDC is a hierarchical, multilingual classification for forest and forestry information that is maintained by IUFRO. The document recommends using GFDC for subject metadata in GFIS and developing browse and search interfaces based on GFDC categories. It also provides technical requirements and possibilities for implementing GFDC in GFIS such as using RSS/RDF formats and the Open Archives Initiative Protocol.
Linked Vitals: A Linked Data Approach to Semantic InteroperabilityDATAVERSITY
This presentation was given at the Semantic Technology & Business Conference in San Jose, California on August 20, 2014 by Dr. Rafael M. Richards MD, MS. Dr. Richards is Physician Informaticist from the Office of Informatics and Analytics at the Veterans Health Administration, U.S. Department of Veterans Affairs.
Slides semantic web and Drupal 7 NYCCamp 2012scorlosquet
This document summarizes a presentation about using semantic web technologies like RDFa, schema.org, and JSON-LD with Drupal 7. It discusses how Drupal 7 outputs RDFa by default and can be extended through contributed modules to support additional RDF formats, a SPARQL endpoint, schema.org mapping, and JSON-LD. Examples of semantic markup for events and people are provided.
ZipList - SEO for Food Bloggers - IFBC 2011Geoff Allen
This document provides tips for optimizing food blogs for search engine optimization (SEO). It recommends focusing on consistent structure by having recipe titles, title tags, and URLs match. It also suggests using appropriate HTML elements like unordered lists for ingredients and ordered lists for instructions. The document advises including a meta description and optimizing recipe photos. It also introduces hRecipe, a microformat that tells Google a page contains a recipe.
The document welcomes principal investigators to an overview of the XC project. XC aims to provide an alternative way to reveal library collections through an open source, collaborative platform that can handle multiple metadata schemas and was informed by user research. The vision is to address the needs of many libraries through a flexible and extensible platform. Phase 1 of XC, funded by the Mellon Foundation, involves developing a detailed project plan to build the XC system in phase 2 and establishing a community of partners through outreach and a needs survey.
This document summarizes a webinar on deploying Resource Description and Access (RDA) cataloging and expressing it as linked data. The webinar speaker, Alan Danskin from the British Library, discussed RDA as a cataloging standard that provides guidelines for describing resources to support discovery. He explained how RDA works with linked data by using entities, relationships, and attributes expressed as URIs. Challenges in applying RDA as linked data include the complexity of the FRBR model and publishing RDA vocabularies as linked open data. Application profiles help apply RDA by defining the metadata elements, policies, and guidelines for a specific domain or community.
This presentation was given by Michael Lauruhn of Elsevier Labs during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.
The document provides an overview of knowledge graphs and the metaphactory knowledge graph platform. It defines knowledge graphs as semantic descriptions of entities and relationships using formal knowledge representation languages like RDF, RDFS and OWL. It discusses how knowledge graphs can power intelligent applications and gives examples like Google Knowledge Graph, Wikidata, and knowledge graphs in cultural heritage and life sciences. It also provides an introduction to key standards like SKOS, SPARQL, and Linked Data principles. Finally, it describes the main features and architecture of the metaphactory platform for creating and utilizing enterprise knowledge graphs.
The Library of Congress engaged in linked data efforts starting in 2009 and created its Linked Data Service. It contracted with Zepheira to develop the initial BIBFRAME model and vocabulary 1.0 with input from early experimenters. The Library of Congress conducted a pilot of BIBFRAME from October 2015 to March 2016 with 40 staff cataloging in both MARC and BIBFRAME. The pilot helped develop BIBFRAME and identified areas for improvement. The Library of Congress will continue to refine BIBFRAME 2.0 and conduct additional testing.
New product developments - Jennifer Lin - London LIVE 2017Crossref
The document discusses rethinking metadata to better connect scholarly works and enable transparency. It proposes three key areas: 1) Adding a new "Reviews" content type to link peer review assets like reports and responses. 2) Developing event data standards to aggregate metadata about publications and establish trust. 3) Citing data and software to provide proper credit and facilitate reproducibility. The goal is to improve infrastructure for scholarly discussion by making provenance, context and peer review processes more open and linked over time.
This presentation was given by Melanie Wacker of Columbia University during the NISO Virtual Conference, BIBFRAME and Real World Applications of Linked Bibliographic Data, held on June 15, 2016
This presentation was given by Ted Lawless of Thomson Reuters during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.
This document describes a Linked Data-driven approach for enabling interactions between smart space components and end users. It presents a reference platform architecture that uses semantic annotation, recommendation systems, and user-generated content management to retrieve and enrich information about smart space components from the Linked Data Cloud. An evaluation of the approach is implemented through a tourism use case in St. Petersburg, Russia involving recommendations of local points of interest.
Although the amount of Linked Data published on the web is steady increasing, its consumption is still mainly limited to technical users and domain experts. Thus, it is necessary to foster intuitive visualizations of Linked Data, in order to support users without a technical background. DBpedia Mobile Explorer is a visualization framework to enable non-experts to visualize Linked Data on mobile devices relying on DBpedia (the Linked Data version of Wikipedia).
Jana Parvanova, Vladimir Alexiev and Stanislav Kostadinov. In workshop Collaborative Annotations in Shared Environments: metadata, vocabularies and techniques in the Digital Humanities (DH-CASE 2013). Collocated with DocEng 2013. Florence, Italy, Sep 2013.
The webinar will be based on LODE-BD Recommendations - Linked Open Data (LOD)-enabled bibliographical data- which aims at providing bibliographic data providers of open repositories with a set of recommendations that will support the selection of appropriate encoding strategies for producing meaningful Linked Open Data (LOD)-enabled bibliographical data (LODE-BD).
Reading Group: From Database to DataspacesJürgen Umbrich
The document discusses the concept of dataspaces and dataspace support systems (DSSPs) as a new approach to data management. It describes dataspaces as loosely connected data sources of various formats that are not fully integrated but exist together. DSSPs are proposed to offer services like search, querying, monitoring, and discovery across heterogeneous dataspace participants with varying degrees of control and consistency guarantees. Key challenges discussed include data modeling and querying across different formats, automated discovery of relationships between data sources, and developing theoretical foundations.
The importance of metadata for datasets: The DCAT-AP European standardGiorgia Lodi
The document discusses metadata standards for datasets, including DCAT, DCAT-AP, and related standards. It provides 3 key points:
1. DCAT and DCAT-AP are metadata standards that provide models for describing datasets and their distributions in order to improve discoverability, interoperability, and reuse. DCAT-AP adds constraints to DCAT for use by European data portals.
2. DCAT-AP_IT is the Italian implementation of DCAT-AP, which extends it with additional mandatory properties and controlled vocabularies. It defines core classes and properties for catalogs, datasets, and distributions in RDF.
3. Future developments include DCAT version 2, which introduces new
This document discusses efforts to automatically detect data types to enable automatic data processing from large scientific data collections in the cloud. It presents two major processes in scientific data use: data discovery and data processing. Currently, data processing is typically done manually by checking data formats, structures, versions and quality. The document proposes automatically detecting data types using a data type registry connected to metadata about data via persistent identifiers, which would enable shifting from manual to automatic data processing. This could help outsiders process data without extensive expertise in a field's data schemes and tools.
The document discusses the Global Forest Domain Classification (GFDC) and its implementation in the Global Forest Information Service (GFIS). It notes that classifications are important for organizing information as they allow for "browsing" and creating ontologies and topic maps. GFDC is a hierarchical, multilingual classification for forest and forestry information that is maintained by IUFRO. The document recommends using GFDC for subject metadata in GFIS and developing browse and search interfaces based on GFDC categories. It also provides technical requirements and possibilities for implementing GFDC in GFIS such as using RSS/RDF formats and the Open Archives Initiative Protocol.
Linked Vitals: A Linked Data Approach to Semantic InteroperabilityDATAVERSITY
This presentation was given at the Semantic Technology & Business Conference in San Jose, California on August 20, 2014 by Dr. Rafael M. Richards MD, MS. Dr. Richards is Physician Informaticist from the Office of Informatics and Analytics at the Veterans Health Administration, U.S. Department of Veterans Affairs.
Slides semantic web and Drupal 7 NYCCamp 2012scorlosquet
This document summarizes a presentation about using semantic web technologies like RDFa, schema.org, and JSON-LD with Drupal 7. It discusses how Drupal 7 outputs RDFa by default and can be extended through contributed modules to support additional RDF formats, a SPARQL endpoint, schema.org mapping, and JSON-LD. Examples of semantic markup for events and people are provided.
ZipList - SEO for Food Bloggers - IFBC 2011Geoff Allen
This document provides tips for optimizing food blogs for search engine optimization (SEO). It recommends focusing on consistent structure by having recipe titles, title tags, and URLs match. It also suggests using appropriate HTML elements like unordered lists for ingredients and ordered lists for instructions. The document advises including a meta description and optimizing recipe photos. It also introduces hRecipe, a microformat that tells Google a page contains a recipe.
The document discusses different options for publishing metadata on the Semantic Web, including standalone RDF documents, embedding metadata in web pages using techniques like RDFa, providing SPARQL endpoints, publishing feeds, and using automated tools. It provides examples and discusses the advantages of each approach. A brief history of metadata publishing efforts is also presented, from early initiatives like HTML meta tags and SHOE to current standards like RDFa and microformats.
El Renacimiento fue un movimiento cultural que se originó en Italia entre los siglos XV y XVI, inspirado en la antigüedad clásica. Se caracterizó por el desarrollo de las artes y las letras a través del humanismo, resaltando la figura humana y buscando la perfección y belleza. Algunos de los principales pintores renacentistas fueron Leonardo da Vinci, Miguel Ángel, Rafael, Tiziano y Tintoretto.
Microformats, RDFa, and schema.org for Food Bloggers - BlogWorld Expo LAAllison Day
The document discusses the importance of using microformats or schema.org for food bloggers to help search engines and other programs better understand recipe pages. It recommends including key metadata like title, photos, prep/cook times, calories, and reviews. Plugins are available for WordPress to easily add these microformats or schema.org tags to recipes. While computers still cannot understand context like humans, using these standards helps make recipe pages more accessible.
WordPress is a popular content management system that is easy to use and free. It is well-suited for food bloggers due to its flexibility and the large community support. SEO involves optimizing a website so it ranks higher in search engines. Key SEO fundamentals for food bloggers include choosing relevant keywords, using clean URLs, adding titles and meta descriptions, using headings, XML sitemaps, analytics, and linking to other high-quality sites. Specific techniques for food bloggers are creating author profiles, optimizing photography and recipes with metadata, using review schema, ensuring usability on mobile devices, and encouraging user interaction through social media.
La arquitectura renacentista en Italia se caracterizó por adoptar elementos de la arquitectura clásica de forma selectiva para crear edificios profanos y religiosos. Los arquitectos buscaban ordenar las ciudades medievales caóticas e inspirarse en la ciudad ideal clásica. Utilizaron estructuras como el arco de medio punto, las columnas y la cúpula semiesférica tomadas de los romanos, pero también crearon nuevas formas como la columna abalaustrada para adaptarse al uso religioso.
La arquitectura renacentista en Italia se caracterizó por adoptar elementos de la arquitectura clásica de forma selectiva para crear edificios profanos y religiosos. Los arquitectos buscaban ordenar las ciudades medievales caóticas e incluso proyectaban nuevas ciudades ideales tomando como inspiración las formas y proporciones de la Antigüedad clásica pero adaptándolas a los usos contemporáneos. Elementos constructivos como el arco de medio punto, las columnas y cúpulas semiesféricas se rec
El documento describe el Renacimiento en varios países europeos. En Francia destacaron artistas como Francisco I, François Clouet, Jean Cousin y Jean Goujon. En los Países Bajos sobresalieron Jan van Eyck, El Bosco, Brueghel el Viejo y Antonio Moro. En Alemania, Alberto Durero, Hans Holbein el Joven y Lucas Cranach el Viejo fueron figuras importantes. El Renacimiento científico trajo adelantos con Copérnico, Galileo, Vesalio, Paracelso y Bacon.
El documento resume las principales características de las artes plásticas durante el Renacimiento en Italia entre los siglos XV y XVI. El Renacimiento se inspiró en la antigüedad clásica de Grecia y Roma, y dio importancia a la figura humana. En arquitectura destacan obras de Brunelleschi, Alberti y Miguel Ángel. En escultura, obras de Ghiberti, Donatello y Miguel Ángel. Y en pintura, obras de Masaccio, Botticelli, Miguel Ángel, Leonardo da Vinci y
La carta describe tres ejes fundamentales del Renacimiento: un florecimiento cultural que recuperó las artes liberales de la Antigüedad en Florencia; un esfuerzo por recuperar los valores formales y espirituales de la cultura clásica griega y romana; y la renovación del pensamiento a través del redescubrimiento de Platón y el humanismo.
El documento resume los principales estilos y obras arquitectónicas, escultóricas y pictóricas del Renacimiento en Italia y España. Describe la arquitectura renacentista italiana de Brunelleschi, Bramante y Miguel Ángel y la arquitectura renacentista española, dividida en tres estilos: plateresco, purista y herreriano. También resume las principales obras escultóricas de Ghiberti, Donatello, Miguel Ángel y escultores españoles, y las obras pictóricas más importantes de artist
El documento describe las características y etapas del Renacimiento en Europa entre los siglos XV y XVI. Se originó en Italia y se caracterizó por valorar al ser humano, retomar elementos de la cultura clásica y describir de forma realista la naturaleza. Las artes florecieron y artistas como Miguel Ángel, Leonardo da Vinci y Rafael alcanzaron la perfección técnica inspirándose en el arte clásico.
El documento describe el arte del Renacimiento, un estilo que surgió en Italia en los siglos XV y XVI y se extendió por Europa. Se caracterizó por la admiración de los clásicos griegos y romanos, poniendo al hombre en el centro y usando la perspectiva y el realismo para buscar la belleza. Los principales exponentes en Florencia fueron Brunelleschi, Donatello, Ghiberti y Botticelli, mientras que en Roma destacaron Miguel Ángel, Rafael y Leonardo da Vinci, y en Venecia Tiziano, Tintore
Este documento explica conceptos básicos de métrica como verso, cómputo silábico, licencias métricas, tipos de versos según su medida, acento y rima, y tipos de estrofas y poemas. Define términos como métrica, verso, sílaba, diptongo, hiato, entre otros. Además, describe las características de diferentes tipos de versos y estrofas a través de esquemas métricos y ejemplos.
El documento describe la arquitectura renacentista en España, dividiéndola en tres etapas: Plateresco, Purismo y Herreriano. Explica las características de cada estilo y presenta ejemplos importantes como el Monasterio de El Escorial de Juan de Herrera. También aborda brevemente el renacimiento en América y la escultura y pintura renacentistas en España.
El documento resume la escultura y pintura gótica en 3 etapas. La escultura gótica comenzó como escultura arquitectónica y luego evolucionó a figuras exentas. La pintura gótica se desarrolló de forma diferente en varias regiones de Europa, con un creciente realismo y nuevos temas como el paisaje y el retrato. La pintura flamenca se hizo famosa por su minucioso detalle y el uso pionero de la técnica de pintura al óleo.
How google is using linked data today and vision for tomorrowVasu Jain
In this presentation, I will discuss how modern search engines, such as Google, make use of Linked Data spread inWeb pages for displaying Rich Snippets. Also i will present an example of the technology and analyze its current uptake.
Then i sketched some ideas on how Rich Snippets could be extended in the future, in particular for multimedia documents.
Original Paper :
http://scholar.google.com/citations?view_op=view_citation&hl=en&user=K3TsGbgAAAAJ&authuser=1&citation_for_view=K3TsGbgAAAAJ:u-x6o8ySG0sC
Another Presentation by Author: https://docs.google.com/present/view?id=dgdcn6h3_185g8w2bdgv&pli=1
The document summarizes semantic technologies that can be used to make web search and content more intelligent. It discusses how search and online media are converging, and how semantic markup like RDFa, microformats, and microdata can be used to embed structured data in web pages. This allows search engines and other applications to better understand page content and provide more sophisticated features like entity search, personalized results, and content aggregation.
Resource discovery and information sharing: reaching the 2.0 turnBonaria Biancu
The document discusses the concepts of Library 2.0 and the Scout Portal Toolkit, an open source resource discovery and organization tool. It provides details on how the Scout Portal Toolkit has been implemented at the University of Milano-Bicocca library, including the metadata fields used and features for resource description, discovery, and interaction with users. The document concludes with suggestions for additional ways the toolkit could be enhanced and integrated with other library systems.
This document summarizes lessons learned from developing semantic wikis. It discusses how semantic wikis differ from traditional wikis by embedding structured metadata and propagating that metadata via semantic queries. It then outlines key features for different user groups, including improved data generation and propagation tools for end users, and light-weight data modeling and fast prototyping for developers. Remaining issues are also discussed, such as managing public and personal data, improving scalability, and data portability and protection across multiple wikis.
knowIT is a collaborative semantic wiki used by Johnson & Johnson to map their IT systems, applications, servers and stakeholders. It aims to capture knowledge about these informatics systems, their relationships and components to answer questions, facilitate knowledge sharing and enable self-service. The wiki uses Semantic MediaWiki and has grown to include systems portfolio management, configuration management and other features to increase IT systems knowledge across the organization.
Using schema.org to improve SEO presented at DrupalCamp Asheville in August 2014.
http://drupalasheville.com/drupal-camp-asheville-2014/sessions/using-schemaorg-improve-seo
The document discusses Schema.org, a new initiative by Google, Bing and Yahoo to provide a common vocabulary for structured data markup on web pages. Schema.org aims to help webmasters improve search engine results by allowing them to provide additional context and meaning to content. It establishes ways for webmasters to better describe content, products and services which could help drive more qualified visitors to their sites. The document outlines some potential benefits of using Schema.org, such as improved search results, but also notes challenges including the work required and uncertainty around how search engines will specifically use the data provided.
X api chinese cop monthly meeting feb.2016Jessie Chuang
The document summarizes the topics discussed at an XAPI Chinese CoP meeting in February 2016. It covered the XAPI vocabulary specification, linked data/semantic web, linked data in education and content recommendation, semantic search and Google Knowledge Graph, monetizing data and adding intelligence. It also included a case study on Hong Ding Educational Technology using XAPI data and partnerships to provide differentiated learning paths. The document emphasized collaborating on standards for competency, user data, content metadata and xAPI statements to enable partnerships and monetizing data while ensuring security, regulation and collective decision making.
Making IA Real: Planning an Information Architecture StrategyChiara Fox Ogan
Presented at Internet Librarian conference in 2001. Provides an introduction to what information architecture is and how you can use the methods to develop a good website.
PoolParty Thesaurus Management - ISKO UK, London 2010Andreas Blumauer
Building and maintaining thesauri are complex and laborious tasks. PoolParty is a Thesaurus Management Tool (TMT) for the Semantic Web, which aims to support the creation and maintenance of thesauri by utilizing Linked Open Data (LOD), text-analysis and easy-to-use GUIs, so thesauri can be managed and utilized by domain experts without needing knowledge about the semantic web. Some aspects of thesaurus management, like the editing of labels, can be done via a wiki-style interface, allowing for lowest possible access barriers to contribution.
The document discusses several projects aimed at building semantic web infrastructure:
1. JeromeDL - A social semantic digital library for uploading, publishing, searching, and collaborating on resources.
2. FOAFRealm - A user management system for e-learning.
3. MarcOnt - A framework for collaborative ontology development including tools for domain experts and mediation services.
4. Didaskon - An automated curriculum composition system for personalized e-learning based on semantically annotated learning objects.
The projects together form initial infrastructure to enable further semantic web research.
The document discusses semantic search and summarizes some key points:
1. Semantic search aims to improve search by exploiting structured data and metadata to better understand user intent and content meaning.
2. It can make use of information extraction techniques to extract implicit metadata from unstructured web pages, or rely on publishers exposing structured data using semantic web formats.
3. Semantic search can enhance different stages of the information retrieval process like query interpretation, indexing, ranking, and evaluation.
What is the current status quo of the Semantic Web as first mentioned by Tim Berners Lee in 2001?
Not only 10 blue links can drive you traffic anymore, Google has added many so called Knowlegde cards and panels to answer the specific informational need of their users. Sounds complicated, but it isn’t. If you ask for information, Google will try to answer it within the result pages.
I'll share my research from a theoretical point of view through exploring patents and papers, and actual testing cases in the live indices of Google. Getting your site listed as the source of an Answer Card can result in an increase of CTR as much as 16%. How to get listed? Come join my session and I'll shine some light on the factors that come into play when optimizing for Google's Knowledge graph.
Thesis Defense: Building a Semantic Web of Comic Book MetadataSean Petiya
Building a Semantic Web of Comic Book Metadata: User Application Profiles for Publishing Linked Data in HTML/RDFa
Kent State University - November 11, 2014
The objective of this research was to present a case study for developing a domain ontology, and explore methodologies for improving the usability and potential usage of that vocabulary through the development of interoperable metadata application profiles designed for specific groups of users within a community. This objective was realized by the development of a metadata vocabulary for comic books and comic book collections, and a series of metadata application profiles designed for publishing Linked Data in the content of existing information systems using HTML/RDFa. Semantic Web standards and technologies represent an opportunity for connecting data about comic books and graphic novels in LOD datasets with detailed, community-created data on the open Web. Recognizing the potential for an open exchange of data about comic books and graphic novels, a case study was designed to gain a comprehensive understanding of the domain and develop an effective data model. The initial phase of the study involved a review of information and reference resources, acquisition of example materials, and practical experience gained indexing comics in a collaborative Web database. A metamodel for comics was then developed and realized as an XML schema, with those elements mapped as properties to classes in an OWL ontology. In order to align the ontology with the wider Web environment and validate the model, the final phase of the case study explored external sources through a review of existing information systems and an analysis of their content. Results were then summarized as skeleton, data-driven user persona documents, which were used to guide the design of a series of metadata application profiles representing the functional requirements identified. The profiles build upon a core schema and incorporate elements from other Web vocabularies as necessary, focusing on publishing Linked Data in existing information systems using HTML/RDFa. Examples were explored and validated for their ability to link to LOD resources and produce meaningful, valid RDF data consistent with the Ontology. The final result is a flexible and extensible, semantic model for comics. The Comic Book Ontology (CBO) as an RDFS/OWL vocabulary is compatible with a variety of other systems, including next-generation library catalogs, where it can potentially be used in a collaborative exchange of data to describe relationships between comics material and content not previously available. This study demonstrates how an ontology can be applied to existing collaborative projects, database, content, or research to enhance the visibility, reference, and utilization of those endeavors through their publication as Linked Data.
The document discusses Scratchpads, a digital platform for scholarly communication. It provides an overview of Scratchpads' history and current usage. It then outlines plans for the next version, Scratchpads 2, including new user features to improve site management, species pages, mapping capabilities, and support for publishing. Finally, it discusses Scratchpads' potential role in the future of digital scholarly communication and some initial efforts to publish data and articles directly from Scratchpad databases.
The document discusses Scratchpads, a digital platform for scholarly communication. It provides an overview of Scratchpads' history and current usage. It then outlines plans for the next version, Scratchpads 2, including new user features to improve site management, species pages, mapping capabilities, and support for publishing. Finally, it discusses Scratchpads' potential role in the future of digital scholarly communication and some initial efforts to publish data and articles directly from Scratchpad databases.
Schema.fiware.org: FIWARE Harmonized Data ModelsFIWARE
Schema.fiware.org: FIWARE Harmonized Data Models presentation, by Jose Manuel Cantera Fonseca.
How-to sessions. 1st FIWARE Summit, Málaga, Dec. 13-15, 2016.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
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.
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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.
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
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
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!
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).
3. The world before schema.org
Multiple incompatible formats:
microformats, RDFa, microdata
Varying degrees of adoption
Not all formats are supported by all search engines
Multiple competing schemas (ontologies)
Consumers support different existing alternatives or
create their own
(Bing, Facebook, Google, Yahoo, Yandex)
Not clear which schemas have adoption, who is
responsible for maintaining them
4. schema.org
Agreement on a shared set of schemas
Bing, Google, and Yahoo! as initial founders
(June, 2011)
“Sitemaps for content”
Single format to communicate the same information to all
consumers
schema.org covers common types of web content
Initial work around business listings (local), creative
works (article, video), reviews
5. schema.org evolution
Yandex joins schema.org in Nov, 2011
Definition and adoption of RDFa Lite 1.1
Subset of the features of RDFa 1.1
W3C Recommendation since June, 2012
Two W3C task forces within the SW Interest
Group (SWIG)
Web schemas TF for ongoing collaborations on
schema extensions, mappings, tooling etc.
public-vocabs@w3.org
HTML Data TF finished in December, 2011
HTML Data Guide
Microdata RDF: Transformation from HTML+Microdata to
RDF
6. schema.org evolution II.
Growing number of 3rd party contributions
rNews (news)
Health and Life Sciences
GoodRelations (e-commerce)NEW
Resolved representational issues
External enumerations
Multiple types in microdata (additionalType
property)
Improvements to validators
Bing, Google and Yandex test tools
10. About Yandex
Most visited russian website (Comscore)
Operating in CIS and Turkey
On NASDAQ since 2011 (Mkt Cap: 7B)
Not just web search: Yandex.Images,
Yandex.Video, Yandex.News, Yandex.Auto, …
17. Future plans
Second schema.org workshop in 2013
Bringing together developers, publishers and
consumers
Similar format to the first schema.org workshop in
Sept, 2011
Improvements to schema.org infrastructure
Improved documentation with RDFa examples
Modularization
Additional extension proposals on the Wiki, e.g.
audience, technical publishing, datasets