The document discusses managing annotations. It defines annotations and describes their uses. It outlines the working group's charter, including recommendations for a data model, vocabulary, serialization, and protocol. It discusses annotation ecosystems and some lightweight implementations. Issues addressed include authentication, notifications, and whether annotations should be managed inside or outside repositories. It pitches the idea of annotating all knowledge across universities, publishers and other organizations.
The document discusses discovery of resources in the International Image Interoperability Framework (IIIF). It proposes a three component approach: 1) a central registry of links to IIIF content, 2) crawling software to populate search engines by following links in the registry, and 3) user-oriented search engines over the crawled content. Key questions addressed include what should be included in the registry, how crawlers should work, what data search engines should index, and how users can access search results. The document seeks input on next steps such as deciding on a format for the registry and APIs to support functions like submission and browsing.
A non-technical introduction to Linked Data, from a Cultural Heritage organization's perspective. This presentation is from the Provenance Index workshop at the Getty in 2016, with an emphasis on why Linked Data is valuable, as well as how it works in general. [Please see speaker notes for explanations of image slides]
This document discusses various approaches for building applications that consume linked data from multiple datasets on the web. It describes characteristics of linked data applications and generic applications like linked data browsers and search engines. It also covers domain-specific applications, faceted browsers, SPARQL endpoints, and techniques for accessing and querying linked data including follow-up queries, querying local caches, crawling data, federated query processing, and on-the-fly dereferencing of URIs. The advantages and disadvantages of each technique are discussed.
This document discusses library linked data and the future of bibliographic control. It begins by asking what library linked data means and why it is important now. To combine the best of libraries and the web, metadata must be on the web and open for others to use. The principles of linked data are described, including using URIs, HTTP URIs, providing useful information in RDF, and including links to other URIs. The building blocks of linked data like RDF and triples are explained. Examples of existing library linked data projects are provided. The BIBFRAME initiative to develop a new framework to manage library data as linked data is outlined.
The document discusses the benefits and challenges of transitioning library data to linked data standards to make the data more accessible and interoperable on the web. It outlines principles of linked data and how library data could be transformed by assigning URIs to concepts, linking data sources, and storing data as RDF triples. Barriers include outdated library processes and standards like MARC that inhibit innovation, but initiatives like RDA, OpenLibrary, and data projects from the German National Library are helping advance the linked library data vision.
The document discusses managing annotations. It defines annotations and describes their uses. It outlines the working group's charter, including recommendations for a data model, vocabulary, serialization, and protocol. It discusses annotation ecosystems and some lightweight implementations. Issues addressed include authentication, notifications, and whether annotations should be managed inside or outside repositories. It pitches the idea of annotating all knowledge across universities, publishers and other organizations.
The document discusses discovery of resources in the International Image Interoperability Framework (IIIF). It proposes a three component approach: 1) a central registry of links to IIIF content, 2) crawling software to populate search engines by following links in the registry, and 3) user-oriented search engines over the crawled content. Key questions addressed include what should be included in the registry, how crawlers should work, what data search engines should index, and how users can access search results. The document seeks input on next steps such as deciding on a format for the registry and APIs to support functions like submission and browsing.
A non-technical introduction to Linked Data, from a Cultural Heritage organization's perspective. This presentation is from the Provenance Index workshop at the Getty in 2016, with an emphasis on why Linked Data is valuable, as well as how it works in general. [Please see speaker notes for explanations of image slides]
This document discusses various approaches for building applications that consume linked data from multiple datasets on the web. It describes characteristics of linked data applications and generic applications like linked data browsers and search engines. It also covers domain-specific applications, faceted browsers, SPARQL endpoints, and techniques for accessing and querying linked data including follow-up queries, querying local caches, crawling data, federated query processing, and on-the-fly dereferencing of URIs. The advantages and disadvantages of each technique are discussed.
This document discusses library linked data and the future of bibliographic control. It begins by asking what library linked data means and why it is important now. To combine the best of libraries and the web, metadata must be on the web and open for others to use. The principles of linked data are described, including using URIs, HTTP URIs, providing useful information in RDF, and including links to other URIs. The building blocks of linked data like RDF and triples are explained. Examples of existing library linked data projects are provided. The BIBFRAME initiative to develop a new framework to manage library data as linked data is outlined.
The document discusses the benefits and challenges of transitioning library data to linked data standards to make the data more accessible and interoperable on the web. It outlines principles of linked data and how library data could be transformed by assigning URIs to concepts, linking data sources, and storing data as RDF triples. Barriers include outdated library processes and standards like MARC that inhibit innovation, but initiatives like RDA, OpenLibrary, and data projects from the German National Library are helping advance the linked library data vision.
This document summarizes a workshop on linking library data. It introduces linked data and key technologies used for linking such as URIs, RDF, and SPARQL. It discusses challenges in linking data like finding suitable datasets to link, encouraging others to link to your data, determining link quality, and maintaining links over time. Finally, it briefly introduces the Silk framework for interlinking data and having participants discuss practical linking of library data.
This document provides an introduction to linked data and the semantic web. It discusses how the current web contains documents that are difficult for computers to understand, but linked data publishes structured data on the web using common standards like RDF and URIs. This allows data to be interlinked and queried using SPARQL. Publishing data as linked data makes the web appear as one huge global database. There are now many incentives for organizations to publish their data as linked data, as it enables data sharing and integration in addition to potential benefits like semantic search engine optimization. Linked data is a growing trend with many large organizations and governments now publishing data.
EC-WEB: Validator and Preview for the JobPosting Data Model of Schema.orgJindřich Mynarz
The presentation describes a tool for validating and previewing instances of Schema.org JobPosting described in structured data markup embedded in web pages. The validator and preview was developed to assist users of Schema.org to produce data of better quality. In this way, it tries to enhance usability of a part of Schema.org covering the domain of job postings. The paper discusses implementation of the tool and design of its validation rules based on SPARQL 1.1. Results of experimental validation of a job posting corpus harvested from the Web are presented. Among other findings, the results indicate that publishers of Schema.org JobPosting data often misunderstand precedence rules employed by markup parsers and that they ignore case-sensitivity of vocabulary names.
The document discusses Resource Description Framework (RDF), a W3C standard for describing web resources. RDF uses a graph-based data model consisting of subjects, predicates, and objects, known as triples. It provides a common framework for describing resources, along with their properties and relationships. RDF Schema builds upon RDF by defining additional vocabulary terms like class, subClassOf, and domain to organize RDF vocabularies and semantically relate terms. While useful, RDF Schema has limitations, leading to the development of OWL as a more expressive ontology language.
LIBRIS is the Swedish national library catalog and directory that has existed since 1970. It contains over 6 million bibliographic records and links data about 175 libraries. LIBRIS recently transitioned to providing data as Linked Open Data to better integrate with the web. By exposing bibliographic records and authority files as structured data with HTTP URIs and links to vocabularies, LIBRIS allows its data to be queried and used freely on the web rather than through isolated APIs. This transition positions LIBRIS to develop more links to external datasets and take advantage of the network effects of the semantic web.
This document discusses converting library data to linked data. It describes how library data such as MARC records are currently not very readable and do not follow linked data principles. The author details converting library data to RDF and linking it to external datasets using ontologies like Dublin Core and SKOS. This creates readable, sharable, linkable and distributable library data that is more integrated and queryable. A prototype of the National Technical Library's linked data uses a lightweight API and open licenses to provide open bibliographic data in a format that can exist alongside original data distribution methods.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
SPARQL is a standard query language for retrieving and manipulating data stored in RDF format. It consists of three parts: a query language, a result format, and an access protocol. The query language uses graph patterns to match against RDF graphs. It supports keywords like SELECT, FROM, and WHERE to identify values to return, data sources, and triple patterns to match. SPARQL can be run over HTTP or SOAP and returns XML results. It provides a unified method for querying RDF data distributed across the web.
Lectio Praecursoria: Search Interfaces on the Web: Querying and Characterizin...Denis Shestakov
Lectio Praecursoria on my PhD dissertation titled "Search Interfaces on the Web: Querying and Characterizing" given in ICT building, Turku, Finland on June 12, 2008
Thesis contributions:
* Querying search interfaces
* Deep Web characterization
* Finding web databases
The text of thesis is available at http://www.slideshare.net/denshe/shestakov2008-search-interfacesonthewebqueryingandcharacterizing
ESWC SS 2012 - Wednesday Tutorial Barry Norton: Building (Production) Semanti...eswcsummerschool
Ontotext is a leading semantic technology company that has developed OWLIM, a family of semantic repositories for storing and querying RDF and OWL data. OWLIM can handle large datasets, perform reasoning, and supports features like full text search, notifications, and geo-spatial querying. It has been used successfully in large-scale production systems like the BBC's World Cup website to power semantic search and dynamic content delivery using semantic web technologies.
Consuming Linked Data by Humans - WWW2010Juan Sequeda
This document discusses different ways that humans can consume linked data on the web. It describes HTML browsers that can render RDFa embedded in web pages. It also discusses linked data browsers that allow users to view RDF triples in a tabular format. Faceted browsers provide a way to explore linked data through interactive facets. On-the-fly mashups dynamically combine data from multiple sources. The document encourages the development of new and innovative interfaces for interacting with linked data.
The document describes the development of a semantic web application called Music Event Explorer (meex) that will integrate data from multiple existing music-related data sources using semantic web technologies. It will allow users to explore music events related to artists and styles. The application will merge data about artists, music styles, and events from sources like MusicBrainz, MusicMoz, and EVDB into a unified RDF model using tools like RDF, OWL, and SPARQL. The development will follow good software engineering practices for a semantic web application.
A Semantic Data Model for Web ApplicationsArmin Haller
This presentation gives a short overview of the Semantic Web, RDFa and Linked Data. The second part briefly discusses ActiveRaUL, our model and system for developing form-based Web applications using Semantic Web technologies.
Social Media Data Collection & AnalysisScott Sanders
A non-technical primer on how to collect and analyze social media data. This was an invited lecture by Biostatistics and Bioinformatics Department in the School of Public Health at the University of Louisville.
This presentation by Shana McDanold of Georgetown University was presented during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016
On building a search interface discovery systemDenis Shestakov
This document discusses building a search interface discovery system to create a directory of deep web resources. It outlines recognizing search interfaces on web pages, classifying interfaces into subject hierarchies, and the interface crawler architecture. Experiments showed the system could successfully identify search interfaces on real websites and classify them. The system aims to automate discovery of the large number of databases available online to improve access to undiscovered resources.
Intervention de Stefanie Gehrke au Workshop "TEI and Neighbouring Standards" à la DiXiT Convention Week 2015 (Huygens ING, La Haye, 15 septembre 2015).
Discussion of the needs around updating Shared Canvas data model for IIIF's Presentation API, and aligning with new work such as the Web Annotation specs.
Digital Manuscript Interoperability Via Shared CanvasTom-Cramer
This is a presentation on digital manuscript (DMS) interoperability as an Open Annotation use case, presented on April 9, 2013 at the West Coast OA Roll Out at Stanford University. It includes both the DMS use cases as well as excerpts of shared-canvas slide decks and IIIF.
This document summarizes a workshop on linking library data. It introduces linked data and key technologies used for linking such as URIs, RDF, and SPARQL. It discusses challenges in linking data like finding suitable datasets to link, encouraging others to link to your data, determining link quality, and maintaining links over time. Finally, it briefly introduces the Silk framework for interlinking data and having participants discuss practical linking of library data.
This document provides an introduction to linked data and the semantic web. It discusses how the current web contains documents that are difficult for computers to understand, but linked data publishes structured data on the web using common standards like RDF and URIs. This allows data to be interlinked and queried using SPARQL. Publishing data as linked data makes the web appear as one huge global database. There are now many incentives for organizations to publish their data as linked data, as it enables data sharing and integration in addition to potential benefits like semantic search engine optimization. Linked data is a growing trend with many large organizations and governments now publishing data.
EC-WEB: Validator and Preview for the JobPosting Data Model of Schema.orgJindřich Mynarz
The presentation describes a tool for validating and previewing instances of Schema.org JobPosting described in structured data markup embedded in web pages. The validator and preview was developed to assist users of Schema.org to produce data of better quality. In this way, it tries to enhance usability of a part of Schema.org covering the domain of job postings. The paper discusses implementation of the tool and design of its validation rules based on SPARQL 1.1. Results of experimental validation of a job posting corpus harvested from the Web are presented. Among other findings, the results indicate that publishers of Schema.org JobPosting data often misunderstand precedence rules employed by markup parsers and that they ignore case-sensitivity of vocabulary names.
The document discusses Resource Description Framework (RDF), a W3C standard for describing web resources. RDF uses a graph-based data model consisting of subjects, predicates, and objects, known as triples. It provides a common framework for describing resources, along with their properties and relationships. RDF Schema builds upon RDF by defining additional vocabulary terms like class, subClassOf, and domain to organize RDF vocabularies and semantically relate terms. While useful, RDF Schema has limitations, leading to the development of OWL as a more expressive ontology language.
LIBRIS is the Swedish national library catalog and directory that has existed since 1970. It contains over 6 million bibliographic records and links data about 175 libraries. LIBRIS recently transitioned to providing data as Linked Open Data to better integrate with the web. By exposing bibliographic records and authority files as structured data with HTTP URIs and links to vocabularies, LIBRIS allows its data to be queried and used freely on the web rather than through isolated APIs. This transition positions LIBRIS to develop more links to external datasets and take advantage of the network effects of the semantic web.
This document discusses converting library data to linked data. It describes how library data such as MARC records are currently not very readable and do not follow linked data principles. The author details converting library data to RDF and linking it to external datasets using ontologies like Dublin Core and SKOS. This creates readable, sharable, linkable and distributable library data that is more integrated and queryable. A prototype of the National Technical Library's linked data uses a lightweight API and open licenses to provide open bibliographic data in a format that can exist alongside original data distribution methods.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
SPARQL is a standard query language for retrieving and manipulating data stored in RDF format. It consists of three parts: a query language, a result format, and an access protocol. The query language uses graph patterns to match against RDF graphs. It supports keywords like SELECT, FROM, and WHERE to identify values to return, data sources, and triple patterns to match. SPARQL can be run over HTTP or SOAP and returns XML results. It provides a unified method for querying RDF data distributed across the web.
Lectio Praecursoria: Search Interfaces on the Web: Querying and Characterizin...Denis Shestakov
Lectio Praecursoria on my PhD dissertation titled "Search Interfaces on the Web: Querying and Characterizing" given in ICT building, Turku, Finland on June 12, 2008
Thesis contributions:
* Querying search interfaces
* Deep Web characterization
* Finding web databases
The text of thesis is available at http://www.slideshare.net/denshe/shestakov2008-search-interfacesonthewebqueryingandcharacterizing
ESWC SS 2012 - Wednesday Tutorial Barry Norton: Building (Production) Semanti...eswcsummerschool
Ontotext is a leading semantic technology company that has developed OWLIM, a family of semantic repositories for storing and querying RDF and OWL data. OWLIM can handle large datasets, perform reasoning, and supports features like full text search, notifications, and geo-spatial querying. It has been used successfully in large-scale production systems like the BBC's World Cup website to power semantic search and dynamic content delivery using semantic web technologies.
Consuming Linked Data by Humans - WWW2010Juan Sequeda
This document discusses different ways that humans can consume linked data on the web. It describes HTML browsers that can render RDFa embedded in web pages. It also discusses linked data browsers that allow users to view RDF triples in a tabular format. Faceted browsers provide a way to explore linked data through interactive facets. On-the-fly mashups dynamically combine data from multiple sources. The document encourages the development of new and innovative interfaces for interacting with linked data.
The document describes the development of a semantic web application called Music Event Explorer (meex) that will integrate data from multiple existing music-related data sources using semantic web technologies. It will allow users to explore music events related to artists and styles. The application will merge data about artists, music styles, and events from sources like MusicBrainz, MusicMoz, and EVDB into a unified RDF model using tools like RDF, OWL, and SPARQL. The development will follow good software engineering practices for a semantic web application.
A Semantic Data Model for Web ApplicationsArmin Haller
This presentation gives a short overview of the Semantic Web, RDFa and Linked Data. The second part briefly discusses ActiveRaUL, our model and system for developing form-based Web applications using Semantic Web technologies.
Social Media Data Collection & AnalysisScott Sanders
A non-technical primer on how to collect and analyze social media data. This was an invited lecture by Biostatistics and Bioinformatics Department in the School of Public Health at the University of Louisville.
This presentation by Shana McDanold of Georgetown University was presented during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016
On building a search interface discovery systemDenis Shestakov
This document discusses building a search interface discovery system to create a directory of deep web resources. It outlines recognizing search interfaces on web pages, classifying interfaces into subject hierarchies, and the interface crawler architecture. Experiments showed the system could successfully identify search interfaces on real websites and classify them. The system aims to automate discovery of the large number of databases available online to improve access to undiscovered resources.
Intervention de Stefanie Gehrke au Workshop "TEI and Neighbouring Standards" à la DiXiT Convention Week 2015 (Huygens ING, La Haye, 15 septembre 2015).
Discussion of the needs around updating Shared Canvas data model for IIIF's Presentation API, and aligning with new work such as the Web Annotation specs.
Digital Manuscript Interoperability Via Shared CanvasTom-Cramer
This is a presentation on digital manuscript (DMS) interoperability as an Open Annotation use case, presented on April 9, 2013 at the West Coast OA Roll Out at Stanford University. It includes both the DMS use cases as well as excerpts of shared-canvas slide decks and IIIF.
SlideShare now has a player specifically designed for infographics. Upload your infographics now and see them take off! Need advice on creating infographics? This presentation includes tips for producing stand-out infographics. Read more about the new SlideShare infographics player here: http://wp.me/p24NNG-2ay
This infographic was designed by Column Five: http://columnfivemedia.com/
No need to wonder how the best on SlideShare do it. The Masters of SlideShare provides storytelling, design, customization and promotion tips from 13 experts of the form. Learn what it takes to master this type of content marketing yourself.
This document provides tips to avoid common mistakes in PowerPoint presentation design. It identifies the top 5 mistakes as including putting too much information on slides, not using enough visuals, using poor quality or unreadable visuals, having messy slides with poor spacing and alignment, and not properly preparing and practicing the presentation. The document encourages presenters to use fewer words per slide, high quality images and charts, consistent formatting, and to spend significant time crafting an engaging narrative and rehearsing their presentation. It emphasizes that an attractive design is not as important as being an effective storyteller.
10 Ways to Win at SlideShare SEO & Presentation OptimizationOneupweb
Thank you, SlideShare, for teaching us that PowerPoint presentations don't have to be a total bore. But in order to tap SlideShare's 60 million global users, you must optimize. Here are 10 quick tips to make your next presentation highly engaging, shareable and well worth the effort.
For more content marketing tips: http://www.oneupweb.com/blog/
This document provides tips for getting more engagement from content published on SlideShare. It recommends beginning with a clear content marketing strategy that identifies target audiences. Content should be optimized for SlideShare by using compelling visuals, headlines, and calls to action. Analytics and search engine optimization techniques can help increase views and shares. SlideShare features like lead generation and access settings help maximize results.
A Guide to SlideShare Analytics - Excerpts from Hubspot's Step by Step Guide ...SlideShare
This document provides a summary of the analytics available through SlideShare for monitoring the performance of presentations. It outlines the key metrics that can be viewed such as total views, actions, and traffic sources over different time periods. The analytics help users identify topics and presentation styles that resonate best with audiences based on view and engagement numbers. They also allow users to calculate important metrics like view-to-contact conversion rates. Regular review of the analytics insights helps users improve future presentations and marketing strategies.
How to Make Awesome SlideShares: Tips & TricksSlideShare
Turbocharge your online presence with SlideShare. We provide the best tips and tricks for succeeding on SlideShare. Get ideas for what to upload, tips for designing your deck and more.
Cloud-based Linked Data Management for Self-service Application DevelopmentPeter Haase
Peter Haase and Michael Schmidt of fluid Operations AG presented on developing applications using linked open data. They discussed the increasing amount of linked open data available and challenges in building applications that integrate data from different sources and domains. Their Information Workbench platform aims to address these challenges by allowing users to discover, integrate, and customize applications using linked data in a no-code environment. Key components of the platform include virtualized integration of data sources and the vision of accessing linked data as a cloud-based data service.
The document introduces the concept of Linked Data and discusses how it can be used to publish structured data on the web by connecting data from different sources. It explains the principles of Linked Data, including using HTTP URIs to identify things, providing useful information when URIs are dereferenced, and including links to other URIs to enable discovery of related data. Examples of existing Linked Data datasets and applications that consume Linked Data are also presented.
The document discusses the concepts of the semantic web and linked data. It explains that the semantic web aims to convert the web into a single database that can be understood by machines through linking data using URIs, RDF, and other standards. It provides examples of projects like DBpedia and the Linking Open Data cloud that publish open government and other data as linked data. The document outlines some of the technologies and best practices for publishing and connecting data as linked data.
Link Sets And Why They Are Important (EDF2012)Anja Jentzsch
This document discusses the importance of links between datasets on the semantic web. It outlines that while there are over 30 billion triples published as linked open data, less than 500 million of these are links between datasets. This limits the ability to connect data islands into a global web of data. The document then describes tools like the LATC platform that can help automate the process of identifying links between datasets through linkage rules and machine learning of rules. It provides examples of how the LATC workbench can be used to select datasets, write linkage rules, generate links, and ensure link quality.
Talk given at Open Knowledge Foundation 'Opening Up Metadata: Challenges, Standards and Tools' Workshop, Queen Mary University of London, 13th June 2012.
Info on the event at http://openglam.org/2012/05/31/last-places-left-for-opening-up-metadata-challenges-standards-and-tools/
Linked Data allows information to be linked across the web using RDF standards and URIs. It utilizes triples consisting of a subject, predicate, and object to uniformly describe relationships between nodes and metadata. There are over 1,000 Linked Open Data sources that can be queried using SPARQL to retrieve and link external information to locally managed data. This enhances search, knowledge retrieval, and allows leveraging of external expertise without needing to develop it in-house. Linked Data is helping to realize Tim Berners-Lee's original vision of the Semantic Web by making more information on the web machine-readable and interconnected.
RDF and linked data standards allow for layering and linking of information on the web. There is a large and growing amount of RDF data available from sources like Wikipedia, Flickr, government data sets, and more. Standards like RDF, RDFS, OWL, SKOS, and SPARQL enable publishing, linking, querying and reusing this structured data on the web in a way that is machine-readable. Integrating RDF and linked data into systems like Drupal could provide benefits like improved searchability, cross-linking of content, and reuse of external taxonomies and metadata schemas.
This presentation was provided by Rob Sanderson of the J. Paul Getty Trust during the NISO Virtual Conference, Open Data Projects, held on Wednesday, June 13, 2018.
Linked Data for the Masses: The approach and the SoftwareIMC Technologies
Title: Linked Data for the Masses: The approach and the Software
@ EELLAK (GFOSS) Conference 2010
Athens, Greece
15/05/2010
Creator: George Anadiotis (R&D Director)
An introduction deck for the Web of Data to my team, including basic semantic web, Linked Open Data, primer, and then DBpedia, Linked Data Integration Framework (LDIF), Common Crawl Database, Web Data Commons.
Linked Open Data combines open data and linked data by making open data available on the web in a way that is machine-readable and semantically interlinked. It uses URIs and RDF to identify things and their properties and relationships, and links data from different sources to enable discovery of related data. Publishing and consuming Linked Open Data allows data sharing and integration to create new knowledge and applications. Key steps involve identifying, cleaning, and publishing data as RDF while linking it to other datasets, then consuming and combining it with other sources. Major Linked Open Data sources include data from governments, Wikipedia, and other organizations.
Linked Data, the Semantic Web, and You discusses key concepts related to Linked Data and the Semantic Web. It defines Linked Data as a set of best practices for publishing and connecting structured data on the web using URIs, HTTP, RDF, and other standards. It also explains semantic web technologies like RDF, ontologies, SKOS, and SPARQL that enable representing and querying structured data on the web. Finally, it discusses how libraries are applying these concepts through projects like BIBFRAME, FAST, library linked data platforms, and the LD4L project to represent bibliographic data as linked open data.
Provide a solution for Semantic Web issues - metadata vocabularies, ontological modeling resources, automated reasoning according to user profile - within a Web browser. It focused on issues such as automatic classification of sites visited by the user, with some similar references in terms of content or design.
Linked Data, the Semantic Web, and You discusses key concepts related to Linked Data and the Semantic Web. It introduces Uniform Resource Identifiers (URIs), Resource Description Framework (RDF), ontologies, SPARQL query language, and library projects applying these technologies like BIBFRAME, the Digital Public Library of America, and Europeana. The goal is to connect structured data on the web through shared vocabularies and relationships between resources from different sources.
- The speaker discusses how the semantic web connects all types of information like people, companies, products, etc. using richer semantics to enable better search, targeted ads, collaboration, and personalization.
- Semantic technologies will play a key role in transforming the web from just a file server to an intelligent database over the next decade.
- The speaker demonstrates his company Twine's semantic web platform which allows users to organize, share, and discover content around their interests.
This document discusses semantic annotation using custom vocabularies. It introduces Gabriel Dragomir and provides background on semantic web and linked data. It then describes Apache Stanbol, a framework for semantic annotation of documents. Stanbol allows modular processing of documents using configurable workflows and vocabularies. The document outlines Stanbol's architecture and components. It also discusses integrating Stanbol with Drupal for semantic indexing and annotation of content. A demo is proposed to index Drupal data in Stanbol and annotate entities using DBPedia and a custom semantic web vocabulary.
SKOS Thesaurus Editing which makes use of "Linked Data". A lot of facts from the Semantic Web (e.g. from DBpedia) can be used to augment local thesauri or knowledge bases. This video shows how PoolParty Thesaurus Management makes use of data from the Semantic Web.
A walk through of the Linked Art data model, API and community processes. Presented originally at the Rijksmuseum for the 5th Linked Art face to face meeting. Linked Art is a linked open usable data specification created by the community to describe artwork, museum objects, and related bibliographic and archival content.
LUX - Cross Collections Cultural Heritage at YaleRobert Sanderson
A brief presentation based on the CNI talk for the Linked Data for Libraries Discovery affinity group about LUX, Linked Open Usable Data and our discovery processes based on graphs rather than documents.
The document discusses using the concept of "zoom" as a framework for Linked Open Data (LOD). It describes how zoom has been used successfully in digital maps and images to allow users to see varying levels of detail. It proposes that semantic zoom could be applied to LOD to allow users to view data at different levels of semantic completeness and amount of information. Some open questions are also raised about how semantic zoom could best be applied to improve the usability of LOD.
Data is our Product: Thoughts on LOD SustainabilityRobert Sanderson
The document discusses sustainability of cultural heritage linked open data products. It defines sustainability as when running costs are less than value plus shutdown costs. Running costs include technology, content, and staffing. Value includes income, benefits to mission, and intangible benefits. Building sustainability requires maximizing usage, usability, trust, and loyalty among users. Usability, trust, and loyalty develop through community engagement and ensuring the data meets user needs. Sustainability ultimately depends on having championing people to build, support, and use the product.
A Perspective on Wikidata: Ecosystems, Trust, and UsabilityRobert Sanderson
Brief and skeptical presentation about wikidata and its potential for use and abuse in the cultural heritage data ecosystem, presented at the PCC/LDAC forum on wikidata, November 12th, 2021.
Linked Art: Sustainable Cultural Knowledge through Linked Open Usable DataRobert Sanderson
An introduction to Linked Art - why we need it, what it is, and how it works. A great starting point if you're interested in linked open usable data in cultural heritage, especially art museums.
Illusions of Grandeur: Trust and Belief in Cultural Heritage Linked Open DataRobert Sanderson
What is the notion of trust, when it comes to publishing linked open data in the cultural heritage sector? This presentation discusses some aspects with relation to three primary questions: How do we trust what was said, trust that the institution said it, and trust what it means?
Invited seminar for UIUC's IS 575 class on metadata in theory and practice, about structural metadata practice in RDF/LOD. Touches on OAI-ORE, PCDM, Annotation, IIIF and Linked Art. Challenges explored are graph boundaries, APIs and context specific metadata.
Sanderson CNI 2020 Keynote - Cultural Heritage Research Data EcosystemRobert Sanderson
There have been, and continue to be, many initiatives to address the social, technological, financial and policy-based challenges that throw up roadblocks towards achieving this vision. However, it is hard to tell whether we are making progress, or whether we are eternally waiting for the hyperloop that will never come. If we are to ever be able to answer research questions that require a broad, international corpus of cultural data, then we need an ecosystem that can be characterized with 5 “C”s: Collaborative, Consistent, Connected, Correct and Contextualized. Each of these has implications for the sustainability, innovation, usability, timeliness and ethical considerations that must be addressed in a coherent and holistic manner. As with autonomous vehicles, technology (and perhaps even machine “intelligence”) is a necessary but insufficient component.
In this presentation, I will frame and motivate this grand challenge and propose where we can build connections between the academy, the cultural heritage sector, and industry. The discussion will explore the issues, and highlight some of the successful endeavors and more approachable opportunities where, together, progress can be made.
Tiers of Abstraction and Audience in Cultural Heritage Data ModelingRobert Sanderson
A walk through of a framework based around the distinctions between Abstraction, Implementation and Audience for considering the value and utility of data modeling patterns and paradigms in cultural heritage information systems. In particular, a focus on CIDOC-CRM, BibFrame, RiC-CM/RiC-O, EDM, and IIIF, with the intent to demonstrate best practices and anti-patterns in modeling.
Presentation about usability of linked data, following LODLAM 2020 at the Getty. Discusses JSON-LD 1.1, IIIF, Linked Art, in the context of the design principles for building usable APIs on top of semantically accurate models, and domain specific vocabularies.
In particular a focus on the different abstraction layers between conceptual model, ontology, vocabulary, and application profile and the various uses of the data.
This document introduces the Linked Art Application Profile, which provides guidelines for describing art objects as structured data using semantic web standards. It describes how the profile takes a progressive enhancement approach, starting with basic human-readable descriptions and moving to more complex machine-readable representations with core entities, unique identifiers, and links between related objects. This enhances interoperability, discovery, and research by allowing data to be aggregated and connected across different cultural heritage institutions on the web.
Standards and Communities: Connected People, Consistent Data, Usable Applicat...Robert Sanderson
Keynote presentation at JCDL 2019 at UIUC, on the interaction between standards (development and usage) and communities. Looking at Linked Open Data, digital library protocols, and evaluation of standards practices.
This document summarizes a talk given by Dr. Robert Sanderson on his career path and lessons learned. It discusses his background starting in history and classics and transitioning into information science. A key lesson is the importance of collaboration, as Dr. Sanderson found that collaborative projects across institutions led to increased citations and community involvement. The talk promotes connecting information across domains to build consistent data models and computational tools to assist research.
Euromed2018 Keynote: Usability over Completeness, Community over CommitteeRobert Sanderson
Discussion of cultural heritage issues around usability and prioritization with completeness, and focus on bringing together communities rather than small and transient committees. Focus on Linked Open Usable Data, Annotations, JSON-LD, IIIF and Linked.Art.
Background for linked open data at the J Paul Getty Trust, followed by a summary of Linked Open Usable Data, and an initial walkthrough of the https://linked.art/ model.
The document discusses making linked open data usable. It emphasizes the importance of understanding the audience and their needs when developing linked open data. Key points include knowing the audience, meeting them on their terms, having a conversation to understand their needs, and providing opportunities for meaningful participation. Other tips discussed are focusing on the right abstraction, keeping barriers to entry low, ensuring the data is comprehensible, providing documentation and examples, minimizing exceptions, and designing consistently for JSON-LD. The overall message is that usability must be a central consideration for linked open data to be successful and useful.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
4. @azaroth42
Foundational
Specifications
Web Standards
• Linked Open Data
• JSON-LD
• Linked Data Platform
• Media Fragments
• Open Annotation
• Activity Streams
• Webmention
Just putting the puzzle pieces together
with a little glue to make it stick