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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
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Walaa Eldin Moustafa
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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
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
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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
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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
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20080917 Rev
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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
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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
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Demystifying RDF
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Charper.lawdi.20130531
charper
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20080917 Rev
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Of Cataloging & Context
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20101020 harper
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Charper.penn.20140411
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Destacado
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Charper.lawdi.20130531
Charper.lawdi.20130531
20080917 Rev
20080917 Rev
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Of Cataloging & Context
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20101020 harper
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Charper.lawdi.20120601
Charper.penn.20140411
Charper.penn.20140411
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Hacia la Internet del Futuro: Web Semántica y Open Linked Data, Parte 2
Último
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
naman860154
Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
UK Journal
Read about the journey the Adobe Experience Manager team has gone through in order to become and scale API-first throughout the organisation.
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Radu Cotescu
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
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
Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Igalia
BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
Delhi Call girls
These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Neo4j
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Delhi Call girls
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
naman860154
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
If you are a Domino Administrator in any size company you already have a range of skills that make you an expert administrator across many platforms and technologies. In this session Gab explains how to apply those skills and that knowledge to take your career wherever you want to go.
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
Gabriella Davis
Cisco CCNA
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
Delhi Call girls
What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
HampshireHUG
What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Antenna Manufacturer Coco
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Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
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
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LCSH
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http://dublincore.org/groups/architecture/
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