Fundamentals of Linked Data – Linked Data for Professional Education

All About Linked Data: How Can it Help My Library?

Fri, 15 Sep 2017 09:45:49 +0000

This free webinar explores the concept of Linked Data, a powerful tool that can make all of your library's assets (materials, events, programs, databases and services) discoverable in local web searches, casting the widest net for library outreach. It takes a look at how Linked Data is being used in other industries, including the benefits it brings, and also discusses why it has been difficult to bring it into practice the library world. Additionally, attendees learn about how using Linked Data, especially to promote programs and events, can help your library become an increasingly relevant and necessary asset in your community.

URL: https://www.ohionet.org/civicrm/event/info?reset=1&id=418&%3Bqid=
Keywords: Linked Data, LAMs (Libraries, Archives, and Museums)
Author: Blazek, Kim
Publisher: Demco
Date created: 2017-09-13 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment

Swagger, the API Economy, REST, Linked Data, and a Semantic Web

Sat, 19 Aug 2017 08:28:00 +0000

In this blog post, the author presents the following situation analysis: The network commonly referred to as the World Wide Web (“Web”) is built upon the powerful duality delivered by a HTTP URI (“Hyperlink”). Hypermedia (Webby Content) is Document Content that includes hyperlinks, which may or may not include explicit controls for Hyperlink lookup (or dereference). Notations for creating RDF document content e.g., (RDF-Turtle or JSON-LD) don’t include explicit Hyperlink-lookup controls. This has led to a false dichotomy has arisen across the communities of so-called “Web Developers” (who prefer explicit Hyperlink-lookup controls) and don’t necessarily see the need for HTTP URI opacity. The author argues that "the notion of a Semantic Web of Linked Data and REST-ful interactions using APIs aren’t in anyway mutually exclusive". He presents an example (with screenshots) showing how a single instance of OpenLink Smart Data Bot (OSDB), combined with the use of several other tools, provides a REST-ful interaction point for engaging a variety of Actions extracted from a variety of APIs documented using Swagger and/or RDF documents.

URL: https://medium.com/openlink-software-blog/swagger-the-api-economy-rest-linked-data-and-a-semantic-web-9d6839dae65a
Keywords: REST (Representational State Transfer), Web APIs, OpenLink Smart Data Bot (OSDB), DBpedia, Virtuoso, CURL
Author: Idehen, Kingsley Uyi
Publisher: OpenLink Software
Date created: 2017-06-24 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

Desiderata for an authoritative Representation of MeSH in RDF

Tue, 08 Aug 2017 08:07:57 +0000

Although the Semantic Web provides a framework for the integration of resources on the web, datasets are not always made available in RDF by their producers and the Semantic Web community has had to convert some of these datasets to RDF in order for these datasets to participate in the LOD cloud. As a result, the LOD cloud sometimes contains outdated, partial and even inaccurate RDF datasets. The authors of this article review the LOD landscape for one of these resources, MeSH, and analyze the characteristics of six existing representations in order to identify desirable features for an authoritative version, for which they have created a prototype. They then illustrate the suitability of this prototype on three common use cases. NLM released an authoritative representation of MeSH in RDF (beta version) in the Fall of 2014.

URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419968/
Keywords: Medical Subject Headings (MeSH), Linked Open Data (LOD) Cloud, Linked Open Data (LOD), Semantic Web, eXtensible Markup Language (XML)
Author: Bodenreider, Olivier
Publisher: American Medical Informatics Association (AMIA)
Date created: 2014-11-14 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M

Transforming the Medical Subject Headings into Linked Data: a new article in the Journal of Library Metadata

Tue, 08 Aug 2017 08:07:57 +0000

This article reviews the pilot project to convert the Medical Subject Headings (MeSH) from XML to Linked Data/RDF. The article examines the collaborative process, the technical and organizational issues tackled, and the future of Linked Data at the National Library of Medicine.

URL: http://aims.fao.org/activity/blog/transforming-medical-subject-headings-linked-data-new-article-journal-library-metadata
Keywords: Medical Subject Headings (MeSH), Semantic Web, LAMs (Libraries, Archives, and Museums)
Publisher: AIMS (Agricultural Information Management Standards)
Date created: 2016-02-11 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational audience: teacher-educationSpecialist
Interactivity type: expositive

Maximising (Re)Usability of Library Metadata Using Linked Data

Sun, 06 Aug 2017 07:58:04 +0000

In this video, the speaker explores challenges related to the re-usability of library linked metadata in the field of cultural heritage- and for other purposes. She argues that it is crucial that published Linked Data accurately represent core aspects of the original metadata related to language, provenance, license, and dataset metadata. The speaker proposes a "proper representation" of these features using W3C standards, best practices and guidelines for multilingual Linked Open Data.

URL: https://www.youtube.com/watch?v=IIDXZ-wj4Vs
Keywords: Libraries, Archives, and Museums (LAMs), Lemon (Lexicon Model for Ontologies), Linguistic Linked Open Data, VoID (Vocabulary of Interlinked Datasets), BabelNet
Author: Pérez, Asunción Gómez
Publisher: Technical University of Madrid
Date created: 2015-12-11 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment
Educational audience: student
Interactivity type: expositive

Semantic Web Misconceptions

Sat, 22 Jul 2017 07:21:14 +0000

The Semantic Web has been talked about for more than a decade. Over those years, several mistaken or misleading ideas about the Semantic Web have repeatedly popped up. This lessons looks at some of the most pervasive of these misconceptions and discusses both the confusion and the reality of the situation.

URL: http://www.cambridgesemantics.com/semantic-university/semantic-web-misconceptions
Keywords: Semantic Web, Artificial Intelligence (AI), Natural Language Processing (NLP), Ontologies
Publisher: Cambridge Semantics
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Structured Data Validator

Fri, 21 Jul 2017 07:20:23 +0000

This validator, one of several Yandex Webmaster tools, allows the user to check the semantic markup of a site to make sure that indexing robots can extract all the structured data. The validator lets the user check the most common microformats: microdata, schema.org, OpenGraph and RDF. However, not all formats support special snippets or the use of annotated data.

URL: https://webmaster.yandex.com/tools/microtest/
Keywords: Rich snippets, Microdata, RDFa, Schema.org, Validation
Publisher: Yandex
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M

<sameAs>: interlinking the Web of Data

Fri, 21 Jul 2017 07:20:23 +0000

The Web of Data has many equivalent URIs. This service helps you to find co-references between different data sets. The main store includes referents from DBpedia, VIAF, the British Library, and other authoritative sources. There are also links to many smaller sameAs stores that are being populated and used by projects and people. The latter are entirely independent from the main sameAs store, although some of the data may also be reflected in the main sameAs store..

URL: http://sameas.org/
Keywords: Web Ontology Language (OWL), HTTP URIs
Author: Glasser, Hugh
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: instruction
Educational audience: student
Interactivity type: active

Structured Data Linter

Fri, 21 Jul 2017 07:20:23 +0000

The Structured Data Linter is a tool aiding webmasters and web developers to verify the structured data present in their HTML pages. Search engines use structured data to understand webpages more accurately and to present enhanced search results. Linter understands microdata, JSON-LD and RDFa formats according to their latest specifications.
In addition to providing snippet visualizations for schema.org, Linter performs limited vocabulary validations for schema.org, Dublin Core Metadata Terms, Friend of a Friend (FOAF), GoodRelations, Facebook's Open Graph Protocol, Semantically-Interlinked Online Communities (SIOC), Facebook's Open Graph Protocol, Simple Knowledge Organization System (SKOS), and Data-Vocabulary.org.

URL: http://linter.structured-data.org/
Keywords: Rich snippets, RDFa, Microdata, Validation, Schema.org
Author: Kellogg, Gregg
Publisher: Structured Data Initiative
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: active

Joining the Linked Data Cloud in a Cost-Effective Manner

Tue, 23 May 2017 07:03:37 +0000

Linked Data holds the promise to derive additional value from existing data throughout different sectors, but practitioners currently lack a straightforward methodology and the tools to experiment with Linked Data. This article gives a pragmatic overview of how general purpose Interactive Data Transformation tools (IDTs) can be used to perform the two essential steps to bring data into the Linked Data cloud: data cleaning and reconciliation. These steps are explained with the help of freely available data (Cooper-Hewitt National Design Museum, New York) and tools (Google Refine), making the process repeatable and understandable for practitioners.

URL: http://dx.doi.org/10.3789/isqv24n2-3.2012.04
Keywords: Linked Open Data (LOD), Data cleaning, Atomization, Clustering, Data reconciliation
Author: Van de Walle, Rik
Publisher: ISQ (Information Standards Quarterly)
Date created: 2012-05-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive