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This presentation was given at the Balisage 2017 conference, and provides an overview of three key RDF standards for constraint modeling, annotation and the use of data frames and cubes in RDF.
RDF SHACL, Annotations, and Data Frames
RDF SHACL, Annotations, and Data Frames
Kurt Cagle
Dr. Jesús Barrasa's slides from his talk at Connected Data London. Jesús, who is a senior field engineer at Neo4j presented how semantic web principles can be used in a graph database.
Explicit Semantics in Graph DBs Driving Digital Transformation With Neo4j
Explicit Semantics in Graph DBs Driving Digital Transformation With Neo4j
Connected Data World
RDF and graph databases are steadily increasing their adoption and are no longer choices of niche-only communities. For almost 20 years, a constraint language for RDF was a big missing piece in the technology stack and a prohibiting factor for further adoption. Even though most RDF-based systems were performing data validation and quality assessment, there was no standardized way to define constraints. People were using ad-hoc solutions or schemas and languages that were not meant for validation. Thankfully, since 2017 there are 2 additions to the RDF technology stack: SHACL & ShEx. Both provide a high level RDF constraint language that people can use to define data constraints (a.k.a. Shapes), each with different strengths. This talk provides an outline of different types of RDF data quality issues and existing approaches to quality assessment. The goal is to give an overview of the existing RDF validation landscape and hopefully, inspire people on how to improve their RDF publishing workflows.
RDF Data Quality Assessment - connecting the pieces
RDF Data Quality Assessment - connecting the pieces
Connected Data World
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011
Juan Sequeda
Enterprise systems are increasingly complex, often requiring data and software components to be accessed and maintained by different company departments. This complexity often becomes an organization’s biggest challenge as changing data fields and adding new applications rapidly grow to meet business demands for increased customer insights. These slides are from a Webinar discussing how using SHACL and JSON-LD with AllegroGraph helps our customers simplify the complexity of enterprise systems through the ability to loosely combine independent elements, while allowing the overall system to function smoothly. In this Webinar we will demonstrate how AllegroGraph’s SHACL validation engine confirms whether JSON-LD data is conforming to the desired requirements. We will describe how SHACL provides a way for a Data Graph to specify the Shapes Graph that should be used for validation and describes how a given shape is linked to targets in the data. The recording is at youtube.com/allegrograph
JSON-LD and SHACL for Knowledge Graphs
JSON-LD and SHACL for Knowledge Graphs
Franz Inc. - AllegroGraph
Presentation given to the GA4GH dataworking group. It starts with an introduction to what RDF is followed by how one can model genomic variation graphs in RDF. Then we show how one can use SPARQL to query this data.
Semantic Variation Graphs the case for RDF & SPARQL
Semantic Variation Graphs the case for RDF & SPARQL
Jerven Bolleman
A Knowledge Graph-Based Semantic Database for Biomedical Sciences
Christian Jakenfelds
Christian Jakenfelds
Connected Data World
These slides describe LinkedIn efforts in building a view virtualization layer that enables compute engines to access Hive views, reason about them semantically, and optionally rewrite them before presenting to various compute engines such as Spark, Hive, and Presto. Namely, we describe two frameworks: Coral for reasoning about views using their logical plans, and Transport UDFs for reasoning about UDFs.
Coral & Transport UDFs: Building Blocks of a Postmodern Data Warehouse
Coral & Transport UDFs: Building Blocks of a Postmodern Data Warehouse
Walaa Eldin Moustafa
Recommandé
This presentation was given at the Balisage 2017 conference, and provides an overview of three key RDF standards for constraint modeling, annotation and the use of data frames and cubes in RDF.
RDF SHACL, Annotations, and Data Frames
RDF SHACL, Annotations, and Data Frames
Kurt Cagle
Dr. Jesús Barrasa's slides from his talk at Connected Data London. Jesús, who is a senior field engineer at Neo4j presented how semantic web principles can be used in a graph database.
Explicit Semantics in Graph DBs Driving Digital Transformation With Neo4j
Explicit Semantics in Graph DBs Driving Digital Transformation With Neo4j
Connected Data World
RDF and graph databases are steadily increasing their adoption and are no longer choices of niche-only communities. For almost 20 years, a constraint language for RDF was a big missing piece in the technology stack and a prohibiting factor for further adoption. Even though most RDF-based systems were performing data validation and quality assessment, there was no standardized way to define constraints. People were using ad-hoc solutions or schemas and languages that were not meant for validation. Thankfully, since 2017 there are 2 additions to the RDF technology stack: SHACL & ShEx. Both provide a high level RDF constraint language that people can use to define data constraints (a.k.a. Shapes), each with different strengths. This talk provides an outline of different types of RDF data quality issues and existing approaches to quality assessment. The goal is to give an overview of the existing RDF validation landscape and hopefully, inspire people on how to improve their RDF publishing workflows.
RDF Data Quality Assessment - connecting the pieces
RDF Data Quality Assessment - connecting the pieces
Connected Data World
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011
Juan Sequeda
Enterprise systems are increasingly complex, often requiring data and software components to be accessed and maintained by different company departments. This complexity often becomes an organization’s biggest challenge as changing data fields and adding new applications rapidly grow to meet business demands for increased customer insights. These slides are from a Webinar discussing how using SHACL and JSON-LD with AllegroGraph helps our customers simplify the complexity of enterprise systems through the ability to loosely combine independent elements, while allowing the overall system to function smoothly. In this Webinar we will demonstrate how AllegroGraph’s SHACL validation engine confirms whether JSON-LD data is conforming to the desired requirements. We will describe how SHACL provides a way for a Data Graph to specify the Shapes Graph that should be used for validation and describes how a given shape is linked to targets in the data. The recording is at youtube.com/allegrograph
JSON-LD and SHACL for Knowledge Graphs
JSON-LD and SHACL for Knowledge Graphs
Franz Inc. - AllegroGraph
Presentation given to the GA4GH dataworking group. It starts with an introduction to what RDF is followed by how one can model genomic variation graphs in RDF. Then we show how one can use SPARQL to query this data.
Semantic Variation Graphs the case for RDF & SPARQL
Semantic Variation Graphs the case for RDF & SPARQL
Jerven Bolleman
A Knowledge Graph-Based Semantic Database for Biomedical Sciences
Christian Jakenfelds
Christian Jakenfelds
Connected Data World
These slides describe LinkedIn efforts in building a view virtualization layer that enables compute engines to access Hive views, reason about them semantically, and optionally rewrite them before presenting to various compute engines such as Spark, Hive, and Presto. Namely, we describe two frameworks: Coral for reasoning about views using their logical plans, and Transport UDFs for reasoning about UDFs.
Coral & Transport UDFs: Building Blocks of a Postmodern Data Warehouse
Coral & Transport UDFs: Building Blocks of a Postmodern Data Warehouse
Walaa Eldin Moustafa
An overview of Semantic Technologies focusing on the SPARQL and Analytics
A Little SPARQL in your Analytics
A Little SPARQL in your Analytics
Dr. Neil Brittliff
This slide set is a provided by the SESAM4 consortium as one out of three Technology Primers on Semantic Web technology. This Primer is on SPARQL and gives you a short introduction to its constructs followed by some examples. You can find the belonging slideset at youtube,
Sesam4 project presentation sparql - april 2011
Sesam4 project presentation sparql - april 2011
Robert Engels
There is a new technology to express and search the data that can provide more meaning and relationship – semantic technology. The semantic technology can easily add, change and implement the meaning and relationship to the current data. Companies such as Facebook and Google are currently using the semantic technology. For example, Facebook Graph Search use semantic technology to enhance more meaningful search for users. The paper will introduce the basic concepts of semantic technology and its graph data model, Resource Description Framework (RDF). RDF can link data elements in a self-describing way with elements and property: subject, predicate and object. The paper will introduce the application and examples of RDF elements. The paper will also introduce three different representation of RDF: RDF/XML representation, turtle representation and N-triple representation. The paper will also introduce “CDISC standards RDF representation, Reference and Review Guide” published by CDISC and PhUSE CSS. The paper will discuss RDF representation, reference and review guide and show how CDISC standards are represented and displayed in RDF format. The paper will also introduce Simple Protocol RDF Query Language (SPARQL) that can retrieve and manipulate data in RDF format. The paper will show how programmers can use SPARQL to re-represent RDF format of CDISC standards metadata into structured tabular format. Finally, paper will discuss the benefits and futures of semantic technology. The paper will also discuss what semantic technology means to SAS programmers and how programmers take an advantage of this new technology.
Introduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmers
Kevin Lee
Technical workshop, presented by Gerald Martinez, Product Development Manager at Apex Tech, that aim and dive through interactive demonstrations of the building blocks of a Web 2.0 application. Explaining the use of the APEX RESTful API using C# and JQuery.
Reto2.011 APEX API
Reto2.011 APEX API
reto20
PoolParty Semantic Suite is Semantic Web Company’s platform for enterprise information integration based on Linked Data principles. PoolParty consists of several components that process and manage RDF based data sets. These components have consistency requirements towards the data they work on. Also, users have requirements towards the quality of the data they manage. We want to express constraints for both in a standard way throughout PoolParty components. SKOS-based PoolParty Thesaurus project data requires both consistency and quality.
SHACL-based data life cycle management
SHACL-based data life cycle management
Connected Data World
Presentation at the Knowledge Systems course of the UvA (December 2010)
Querying the Web of Data
Querying the Web of Data
Rinke Hoekstra
The trajectory schema.org has taken, starting with a history that is less a retrospective than a narrative. I'll follow this narrative to the fortunately-timed emergence of JSON-LD, providing as it does a flexible, standards-based serialization of the vocabulary. This, I'll explain, helped fuel the popularity of schema.org, which in turn has caused a demand for more schemas, growing the vocabulary and its capabilities. I'll make the case that schema.org has started to resemble exactly what everyone involved in the initiative declared it shouldn't be: an ontology of everything. Whether or not that be the case, I'll say, the utility of having a relatively simple, well thought-out, well-understood and very broad vocabulary available has made schema.org (along with JSON-LD) a go-to tool for linked data modelers. Finally, and with a look at the many ways Google, in particular, has made use of schema.org, I'll explore to what extent its utility extends past being a convenient starting for point for back-of-the napkin knowledge graph development, or whether it's making a significant contribution to realizing the promise of a web of data.
schema.org, Linked Data's Gateway Drug
schema.org, Linked Data's Gateway Drug
Connected Data World
Talk given at the Seattle Semantic Web Meetup in Seattle, WA, USA, on the 17 of June, 2010
A year on the Semantic Web @ W3C
A year on the Semantic Web @ W3C
Ivan Herman
An exploration of a possible pipeline for RDF datasets from Timbuctoo instances to the digital archive EASY. - Get, verify, ingest archive and disseminate (linked) data and metadata. - What are the implications for an archive: serving linked data over (longer periods of) time - Practical stuff.
Timbuctoo 2 EASY
Timbuctoo 2 EASY
henkvandenberg16
The presentation introduces you to DGraph and explains about the data types, indexes, edges, facets and type of mutation using RDF Triples or JSON. Also, take through the GQL+/- functions, filters, connectives, reverse edges, facets and complex graph queries for DGraph using GQL+/-.
DGraph: Introduction To Basics & Quick Start W/Ratel
DGraph: Introduction To Basics & Quick Start W/Ratel
Knoldus Inc.
Temporarily slides for the demo. To be updated.
morph-LDP Demo
morph-LDP Demo
Nandana Mihindukulasooriya
SPARQL Language: A Short introduction
Sparql
Sparql
Serge Garlatti
A review of OCLC's contribution to RDA, OCLC's infrastructure related to the MARC standard and thoughts on moving beyond the emphasis on cataloging records to the description, discovery and exposure of work-level views of bibliographic metadata.
Beyond the Record : OCLC & the Future of MARC
Beyond the Record : OCLC & the Future of MARC
tfons
Find your way in Graph labyrinths
Find your way in Graph labyrinths
Daniel Camarda
Presented at the First openCypher Implementers Meeting in Walldorf, Germany, February 2017 @ http://www.opencypher.org/blog/2017/03/31/first-ocim-blog/
Dgraph: Graph database for production environment
Dgraph: Graph database for production environment
openCypher
These are slides from a live webinar taken place January 2018. GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards, and particularly GraphDB™. In this webinar, we demonstrated how to install and set-up GraphDB™ 8.4 and how you can generate your first RDF dataset. We also showed how to quickly integrate complex and highly interconnected data using RDF and SPARQL and much more. With the help of GraphDB™, you can start smartly managing your data assets, visually represent your data model and get insights from them.
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Ontotext
Social tagging to enrich biomedical data integration.
2008 11 13 Hcls Call
2008 11 13 Hcls Call
Jun Zhao
Keynote at Semantic Web In Libraries 2015 (#SWIB15)
The Digital Cavemen of Linked Lascaux
The Digital Cavemen of Linked Lascaux
Ruben Verborgh
Introduce Semantic web based on book "Semantic web for the Working Ontologist" Dean Allemang / Jim Hendler
Semantic web for ontology chapter4 bynk
Semantic web for ontology chapter4 bynk
Namgee Lee
Not sure what RDF is and confused about or how it relates to Linked Data and the jargon surrounding it? This describes of what RDF as well as what you need to know to understand how it applies to library work.
Demystifying RDF
Demystifying RDF
Kyle Banerjee
Charper.lawdi.20130531
Charper.lawdi.20130531
charper
20080917 Rev
20080917 Rev
charper
Contenu connexe
Tendances
An overview of Semantic Technologies focusing on the SPARQL and Analytics
A Little SPARQL in your Analytics
A Little SPARQL in your Analytics
Dr. Neil Brittliff
This slide set is a provided by the SESAM4 consortium as one out of three Technology Primers on Semantic Web technology. This Primer is on SPARQL and gives you a short introduction to its constructs followed by some examples. You can find the belonging slideset at youtube,
Sesam4 project presentation sparql - april 2011
Sesam4 project presentation sparql - april 2011
Robert Engels
There is a new technology to express and search the data that can provide more meaning and relationship – semantic technology. The semantic technology can easily add, change and implement the meaning and relationship to the current data. Companies such as Facebook and Google are currently using the semantic technology. For example, Facebook Graph Search use semantic technology to enhance more meaningful search for users. The paper will introduce the basic concepts of semantic technology and its graph data model, Resource Description Framework (RDF). RDF can link data elements in a self-describing way with elements and property: subject, predicate and object. The paper will introduce the application and examples of RDF elements. The paper will also introduce three different representation of RDF: RDF/XML representation, turtle representation and N-triple representation. The paper will also introduce “CDISC standards RDF representation, Reference and Review Guide” published by CDISC and PhUSE CSS. The paper will discuss RDF representation, reference and review guide and show how CDISC standards are represented and displayed in RDF format. The paper will also introduce Simple Protocol RDF Query Language (SPARQL) that can retrieve and manipulate data in RDF format. The paper will show how programmers can use SPARQL to re-represent RDF format of CDISC standards metadata into structured tabular format. Finally, paper will discuss the benefits and futures of semantic technology. The paper will also discuss what semantic technology means to SAS programmers and how programmers take an advantage of this new technology.
Introduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmers
Kevin Lee
Technical workshop, presented by Gerald Martinez, Product Development Manager at Apex Tech, that aim and dive through interactive demonstrations of the building blocks of a Web 2.0 application. Explaining the use of the APEX RESTful API using C# and JQuery.
Reto2.011 APEX API
Reto2.011 APEX API
reto20
PoolParty Semantic Suite is Semantic Web Company’s platform for enterprise information integration based on Linked Data principles. PoolParty consists of several components that process and manage RDF based data sets. These components have consistency requirements towards the data they work on. Also, users have requirements towards the quality of the data they manage. We want to express constraints for both in a standard way throughout PoolParty components. SKOS-based PoolParty Thesaurus project data requires both consistency and quality.
SHACL-based data life cycle management
SHACL-based data life cycle management
Connected Data World
Presentation at the Knowledge Systems course of the UvA (December 2010)
Querying the Web of Data
Querying the Web of Data
Rinke Hoekstra
The trajectory schema.org has taken, starting with a history that is less a retrospective than a narrative. I'll follow this narrative to the fortunately-timed emergence of JSON-LD, providing as it does a flexible, standards-based serialization of the vocabulary. This, I'll explain, helped fuel the popularity of schema.org, which in turn has caused a demand for more schemas, growing the vocabulary and its capabilities. I'll make the case that schema.org has started to resemble exactly what everyone involved in the initiative declared it shouldn't be: an ontology of everything. Whether or not that be the case, I'll say, the utility of having a relatively simple, well thought-out, well-understood and very broad vocabulary available has made schema.org (along with JSON-LD) a go-to tool for linked data modelers. Finally, and with a look at the many ways Google, in particular, has made use of schema.org, I'll explore to what extent its utility extends past being a convenient starting for point for back-of-the napkin knowledge graph development, or whether it's making a significant contribution to realizing the promise of a web of data.
schema.org, Linked Data's Gateway Drug
schema.org, Linked Data's Gateway Drug
Connected Data World
Talk given at the Seattle Semantic Web Meetup in Seattle, WA, USA, on the 17 of June, 2010
A year on the Semantic Web @ W3C
A year on the Semantic Web @ W3C
Ivan Herman
An exploration of a possible pipeline for RDF datasets from Timbuctoo instances to the digital archive EASY. - Get, verify, ingest archive and disseminate (linked) data and metadata. - What are the implications for an archive: serving linked data over (longer periods of) time - Practical stuff.
Timbuctoo 2 EASY
Timbuctoo 2 EASY
henkvandenberg16
The presentation introduces you to DGraph and explains about the data types, indexes, edges, facets and type of mutation using RDF Triples or JSON. Also, take through the GQL+/- functions, filters, connectives, reverse edges, facets and complex graph queries for DGraph using GQL+/-.
DGraph: Introduction To Basics & Quick Start W/Ratel
DGraph: Introduction To Basics & Quick Start W/Ratel
Knoldus Inc.
Temporarily slides for the demo. To be updated.
morph-LDP Demo
morph-LDP Demo
Nandana Mihindukulasooriya
SPARQL Language: A Short introduction
Sparql
Sparql
Serge Garlatti
A review of OCLC's contribution to RDA, OCLC's infrastructure related to the MARC standard and thoughts on moving beyond the emphasis on cataloging records to the description, discovery and exposure of work-level views of bibliographic metadata.
Beyond the Record : OCLC & the Future of MARC
Beyond the Record : OCLC & the Future of MARC
tfons
Find your way in Graph labyrinths
Find your way in Graph labyrinths
Daniel Camarda
Presented at the First openCypher Implementers Meeting in Walldorf, Germany, February 2017 @ http://www.opencypher.org/blog/2017/03/31/first-ocim-blog/
Dgraph: Graph database for production environment
Dgraph: Graph database for production environment
openCypher
These are slides from a live webinar taken place January 2018. GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards, and particularly GraphDB™. In this webinar, we demonstrated how to install and set-up GraphDB™ 8.4 and how you can generate your first RDF dataset. We also showed how to quickly integrate complex and highly interconnected data using RDF and SPARQL and much more. With the help of GraphDB™, you can start smartly managing your data assets, visually represent your data model and get insights from them.
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Ontotext
Social tagging to enrich biomedical data integration.
2008 11 13 Hcls Call
2008 11 13 Hcls Call
Jun Zhao
Keynote at Semantic Web In Libraries 2015 (#SWIB15)
The Digital Cavemen of Linked Lascaux
The Digital Cavemen of Linked Lascaux
Ruben Verborgh
Introduce Semantic web based on book "Semantic web for the Working Ontologist" Dean Allemang / Jim Hendler
Semantic web for ontology chapter4 bynk
Semantic web for ontology chapter4 bynk
Namgee Lee
Not sure what RDF is and confused about or how it relates to Linked Data and the jargon surrounding it? This describes of what RDF as well as what you need to know to understand how it applies to library work.
Demystifying RDF
Demystifying RDF
Kyle Banerjee
Tendances
(20)
A Little SPARQL in your Analytics
A Little SPARQL in your Analytics
Sesam4 project presentation sparql - april 2011
Sesam4 project presentation sparql - april 2011
Introduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmers
Reto2.011 APEX API
Reto2.011 APEX API
SHACL-based data life cycle management
SHACL-based data life cycle management
Querying the Web of Data
Querying the Web of Data
schema.org, Linked Data's Gateway Drug
schema.org, Linked Data's Gateway Drug
A year on the Semantic Web @ W3C
A year on the Semantic Web @ W3C
Timbuctoo 2 EASY
Timbuctoo 2 EASY
DGraph: Introduction To Basics & Quick Start W/Ratel
DGraph: Introduction To Basics & Quick Start W/Ratel
morph-LDP Demo
morph-LDP Demo
Sparql
Sparql
Beyond the Record : OCLC & the Future of MARC
Beyond the Record : OCLC & the Future of MARC
Find your way in Graph labyrinths
Find your way in Graph labyrinths
Dgraph: Graph database for production environment
Dgraph: Graph database for production environment
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
2008 11 13 Hcls Call
2008 11 13 Hcls Call
The Digital Cavemen of Linked Lascaux
The Digital Cavemen of Linked Lascaux
Semantic web for ontology chapter4 bynk
Semantic web for ontology chapter4 bynk
Demystifying RDF
Demystifying RDF
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Charper.lawdi.20130531
Charper.lawdi.20130531
charper
20080917 Rev
20080917 Rev
charper
Of Cataloging & Context
Of Cataloging & Context
charper
20101020 harper
20101020 harper
charper
Linked Library Data, LOD-LAM, & the Dublin Core Metadata Initiative
Charper.lawdi.20120601
Charper.lawdi.20120601
charper
Charper.penn.20140411
Charper.penn.20140411
charper
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Charper.lawdi.20130531
Charper.lawdi.20130531
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20080917 Rev
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Of Cataloging & Context
20101020 harper
20101020 harper
Charper.lawdi.20120601
Charper.lawdi.20120601
Charper.penn.20140411
Charper.penn.20140411
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Pelorus Platform is a suite of tools for building Linked Data and Semantic Web applications.
SemTech 2010: Pelorus Platform
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Clark & Parsia LLC
These slides were presented as part of a W3C tutorial at the CSHALS 2010 conference (http://www.iscb.org/cshals2010). The slides are adapted from a longer introduction to the Semantic Web available at http://www.slideshare.net/LeeFeigenbaum/semantic-web-landscape-2009 . A PDF version of the slides is available at http://thefigtrees.net/lee/sw/cshals/cshals-w3c-semantic-web-tutorial.pdf .
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This presentation presents OpenLink Virtuoso -- The Prometheus of RDF -- including Linked Data Verticals and Patterns, involving Web and Big Data, SPARQL and RDF, RDF Tax and many others.
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Presented at GMOD meeting, 2005? Compares XML and ORM based middleware approaches for chado and gmod
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3 level model for semantic screen scraping of web resources. Also Best practices, famous tools and a case study for web scraping is discussed.
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Semantic framework for web scraping.
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Hacia la Internet del Futuro: Web Semántica y Open Linked Data, Parte 2
Dernier
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
Presentation on the progress in the Domino Container community project as delivered at the Engage 2024 conference
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Martijn de Jong
MINDCTI Revenue Release Quarter 1 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
Architecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Drew Madelung
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
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Deepika Singh
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
Stay safe, grab a drink and join us virtually for our upcoming "GenAI Risks & Security" Meetup to hear about how to uncover critical GenAI risks and vulnerabilities, AI security considerations in every company, and how a CISO should navigate through GenAI Risks.
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
lior mazor
ICT role in education and it's challenges. In which we learn about ICT, it's impact, benefits and challenges.
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Edi Saputra
Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
The Digital Insurer
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
45-60 minute session deck from introducing Google Apps Script to developers, IT leadership, and other technical professionals.
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
wesley chun
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
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ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Architecting Cloud Native Applications
Architecting Cloud Native Applications
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
C4l2008charper
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RDF and RDA
declaring and modeling library metadata
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R&D: RDA in
RDF or: Can Resource Description become Rigorous Data? Karen Coyle Code4Lib 2008
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I’m Lazy XKCD
- http://xkcd.com/303/ Randall Munroe
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Dublin Core Singapore
Framework
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LCSH
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http://dublincore.org/groups/architecture/
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