Fundamentals of Resource Description Framework – Linked Data for Professional Education

Validating RDF Data

Fri, 15 Sep 2017 09:45:50 +0000

This book describes two languages for implementing constraints on RDF data, describing the main features of both Shape Expressions (ShEx) and Shapes Constraints Language (SHACL) from a user perspective, and also offering a comparison of the technologies. The authors develop a small number of examples that typify validation requirements and demonstrate how they can be met with ShEx and SHACL. The book is not intended to be a formal specification of the languages, for which the interested reader can consult the corresponding reference documents, but rather, it is meant to serve as an introduction to the technologies with some background about the rationale of their design and some points of comparison.

URL: http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1091
Keywords: Shape Expressions (ShEx), Shapes Constraints Language (SHACL), Data validation
Author: Kontokostas, Dimitris
Publisher: Morgan & Claypool Publishers
Date created: 2017-08-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P8H
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: expositive

Level Up: Online CSV to RDF Converter (Beta)

Fri, 18 Aug 2017 08:22:56 +0000

This online converter for CSV files was created for the many people out there who are big supporters of "Open Data" but are uncomfortable with getting that data into a format that can be used for Linked Data (regardless of whether it was open or not). Whilst many are happy with saving tabular data as CSV files, a surprising amount are still fairly mystified by saving that same data in RDF format. For more information about "Why RDF?", "What's Linked Open Data?" and similar questions – please have a read of the FAQ; this page concentrates on how to use the converter options to tweak the RDF output. The final step is to simply download a zip file of the converted CSV. The zip file includes the data in three formats – RDF, Turtle (.ttl) and N-Triples (.nt).

URL: http://levelup.networkedplanet.com/instructions
Keywords: CSV (Comma Separated Values)
Publisher: NetwrokedPlanet
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: professionalDevelopment
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

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

The Academy Unbound Linked Data as Revolution

Mon, 22 May 2017 07:03:30 +0000

Much has been said about Linked Data, its ties to the Semantic Web, and its application for libraries, but what is it exactly and how does it work? This paper aims to answer these questions by defining Linked Data, discussing problems with libraries’ focus on bibliographic records, and exploring the potential of Linked Data as a solution in a rapidly evolving global discovery environment. A new discovery approach developed by the Bibliothèque nationale de France is presented as a service that takes advantage of the potential of linked data.

URL: https://journals.ala.org/index.php/lrts/article/view/5073/6143
Keywords: Linked Open Data (LOD), Libraries, Archives, and Museums (LAMs), Entity-relationship model, MARC (MAchine-Readable Cataloging), Authority control, Subject access
Author: Schreur, Philip Evan
Publisher: ALCTS (Association for Library Collections and Technical Services)
Date created: 2012-05-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P25M
Educational use: professionalDevelopment
Educational audience: generalPublic
Interactivity type: expositive

The Semantic Web and Linked Data Concepts: The RDF Data Model and Linked Open Data (LOD) Quiz

Fri, 19 May 2017 07:03:10 +0000

This quiz covers material presented in the first module of the BIBFRAME pilot training project at the Library of Congress. The quiz consists of five multiple choice questions with the answers explained in popups after the user has made their selection. Questions address possible misconceptions regarding Linked Data principles and Linked Open Data (LOD), as well as the role of the RDF data model, triple statements, and vocabularies within the Semantic Web.

URL: https://www.loc.gov/catworkshop/bibframe/Training/part2/index.htm
Keywords: Linked Data, Semantic Web, HTTP URIs
Publisher: Library of Congress
Date created: 2015-08-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P5M
Educational use: professionalDevelopment
Educational audience: student
Interactivity type: active

The Semantic Web and Linked Data Concepts: The RDF Data Model and Linked Open Data (LOD)

Fri, 19 May 2017 07:03:10 +0000

This PowerPoint presentation was used during the "Introduction to the Semantic Web and Linked Data" module of the pilot training project developed by the Library of Congress which tested the use of BIBFRAME for bibliographic description. This presentation explains the RDF data model, the use of URIs to identify resources, and other RDF "tools". BIBFRAME is discussed as one of many vocabularies and ontologies being used to describe relationships between resources on the Semantic Web. The wider concept of Linked Open Data (LOD) is introduced along the principles and practices that support it. The module's home page contains links to more materials.

URL: https://www.loc.gov/catworkshop/bibframe/Module1-Part2.pptx
Keywords: Linked Open Data (LOD), HTTP URIs, BIBFRAME, Namespace, Semantic Web
Publisher: Library of Congress
Date created: 2015-08-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: expositive

BIBFRAME Training at the Library of Congress: Introduction to the Semantic Web and Linked Data

Fri, 19 May 2017 07:03:10 +0000

This resource was developed by the Library of Congress as one part of a pilot training project which tested the use of BIBFRAME for bibliographic description. The purpose of this module is to introduce the Semantic Web, Linked Data concepts, and some basic tools. Topics covered include the role of semantically linked data in creating useful web services and connecting datasets on the web. The limits of the current MARC based environment are contrasted with the promise of integrating data more fully with Semantic Web resources to enhance user services. This home page contains links to PowerPoint presentations, quizzes, and assignments.

URL: https://www.loc.gov/catworkshop/bibframe/
Keywords: BIBFRAME, Semantic Web, MARC (MAchine-Readable Cataloging), HTTP URIs, Namespace, Linked Open Data (LOD)
Publisher: Library of Congress
Date created: 2015-08-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P2H
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: mixed

Introduction to Linked Data

Fri, 05 May 2017 06:59:13 +0000

This paper describes Linked Data and how the "Web of Documents" can be transformed into a "Web of Data". This approach is contrasted with the limited opportunities for linking data in traditional MARC-based bibliographic records. It includes a brief explanation of LD principles and standards, then explains how data can be embedded into HTML in several RDF serializations.

URL: http://discovery.ucl.ac.uk/1449458/2/Intro%20to%20linked%20data%20C%26I174final.pdf
Keywords: Microdata, Schema.org, Turtle, RDF/XML, RDFa
Author: Meehan, Thomas
Date created: 2014-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: instruction
Educational audience: professional

RDFS for Hierarchy and Subsumption

Sun, 02 Apr 2017 06:55:49 +0000

This PowerPoint presentation explains the role which concepts from thesauri and taxonomies play in Linked Data (especially as they relate to SKOS). It briefly discusses ontologies in general before moving on to RDF Schema. Examples are given of how to defines classes of resources and the relations that connect them using RDFS. Focuses on defining hierarchical relations in support of inference (i.e., formally stating that membership in a narrower class automatically implies membership in a broader class).

URL: https://github.com/elsevierlabs/LD4PE/files/877578/Hierarchy_and_inheritance.pptx
Keywords: RDF Schema, Taxonomy, Thesaurus, Simple Knowledge Organization System (SKOS)
Author: Malaise, Veronique
Publisher: Elsevier
Date created: 2017-03-28 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P25M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive