generalPublic – Linked Data for Professional Education

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

Linked Data Query Processing

Mon, 14 Nov 2016 05:43:16 +0000

The amount of Linked Data published on the Web has increased dramatically in recent years. While some data publishers expose their datasets not only based on Linked Data principles but also via dedicated query services, relying on such services for use cases of live Linked Data consumption results in ignoring a large portion of the Web of Linked Data. As a consequence, we currently witness the emergence of a new area of research that focuses on query processing approaches which rely solely on Linked Data principles. This five-part tutorial aims to provide participants with an overview of this new field. It discusses the foundations of and new problems that are specific to Linked Data query processing, and reviews works that aim to address them.

URL: http://dsg.uwaterloo.ca/LDQTut2013/
Keywords: Web of Data, Link Traversal Based Query Execution (LTBQE), SPARQL
Author: Hartig, Olaf
Date created: 2013-05-14 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P2H
Educational use: instruction
Educational audience: generalPublic
Interactivity type: expositive

Linked Data and SPARQL Queries Tutorial

Wed, 30 Dec 2015 18:37:26 +0000

This tutorial goes through some basic SPARQL queries in order to give the user a sense of how to discover and query different Linked Data (LD) sets. It seeks to answer, through some examples, the following questions:1. How do I know where to look to identify LD sets? 2. Once I know that a LD set of interest exists, how should I query it? 3. How do I query across different LD sets?

URL: http://ctsaconnect.org/system/files/Linked%20data%20and%20SPARQL%20queries%20tutorial.pdf
Keywords: Linked Data, Linked Open Data Cloud, Dataset, RDF, SPARQL, Query, SPARQL endpoint
Publisher: VIVO
Date created: 2012-01-01 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: active

Semantic Web (Part 5): Dan Brickley, Schema.org

Abi Evans — Tue, 10 Nov 2015 05:13:01 +0000

Dan Brickley presents schema.org, a set of extensible schemas that enables webmasters to embed structured data on their web pages for use by search engines.

URL: https://www.youtube.com/watch?v=_-6mhdjE1XE
Keywords: Schema.org, Structured data, Semantic Web, Rich snippets
Author: Brickley, Dan
Publisher: BBC Academy
Date created: 2012-03-30 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: professionalDevelopment
Educational audience: generalPublic
Interactivity type: expositive

Learning Resource Metadata Initiative: Using Schema.org to describe open educational resources

Abi Evans — Tue, 10 Nov 2015 05:13:00 +0000

This paper discusses the Learning Resource Metadata Initiative (LRMI), an international project that aims to facilitate the discovery of educational resources through the use of embedded metadata that can be used by search engines to refine the search services they offer. LRMI has extended the schema.org metadata vocabulary with terms that are specifically relevant to aiding the discovery of learning resources. In order to understand LRMI metadata it is necessary to first introduce schema.org metadata.

URL: http://videolectures.net/ocwc2014_barker_schema/
Keywords: Schema.org, Metadata, Vocabulary, Learning Resource Metadata Initiative (LRMI)
Author: Barker, Phil
Publisher: videolectures.net
Date created: 2014-06-23 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: expositive

Analyzing Schema.org

Abi Evans — Tue, 10 Nov 2015 05:13:00 +0000

Schema.org is a way to add machine-understandable information to web pages that is processed by the major search engines to improve search performance. The definition of schema.org is provided as a set of web pages plus a partial mapping into RDF triples with unusual properties, and is incomplete in a number of places. This analysis of and formal semantics for schema.org provides a complete basis for a plausible version of what schema.org should be. Highlights many confusing/problematic conceptual and technical issues with Schema.org. Also available as PDF: http://videolectures.net/site/normal_dl/tag=930150/iswc2014_patel_schneider_analyzing_schema_01.pdf

URL: http://videolectures.net/iswc2014_patel_schneider_analyzing_schema/
Keywords: Schema.org, Ontology, Class, Property, Domain, Range
Author: Patel-Schneider, Peter
Publisher: videolectures.net
Date created: 2014-12-19 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: expositive

SKOS: Past, Present, Future – and a little bit of History, Architecture and Engineering

Abi Evans — Tue, 10 Nov 2015 05:13:00 +0000

This lecture discusses SKOS as a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, enabling data and technology sharing across diverse applications. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. Also available as PDF:
http://videolectures.net/site/normal_dl/tag=69553/eswc2010_bechhofer_sppf_01.pdf

URL: http://videolectures.net/eswc2010_bechhofer_sppf/
Keywords: Simple Knowledge Organization System (SKOS), Thesaurus, Vocabulary, RDFa
Author: Bechhofer, Sean
Publisher: videolectures.net
Date created: 2010-06-30 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment
Educational audience: generalPublic

What the Adoption of schema.org Tells About Linked Open Data

Abi Evans — Tue, 10 Nov 2015 05:13:00 +0000

Schema.org is a common data markup schema, pushed by large search engine providers such as Google, Yahoo!, and Bing. To date, a few hundred thousand web site providers adopt schema.org annotations embedded in their web pages via microdata. Profiling this data reveals interesting insights in the ways a schema is used (and also misused) on a large scale. Furthermore, adding a temporal dimension to the analysis can make the interaction between the adoption and the evolution of the standard visible. Lessons learned from that endeavor can be transferred to the Linked Open Data community. Also available as PDF:
http://videolectures.net/site/normal_dl/tag=962221/eswc2015_paulheim_schema_org_01.pdf

URL: http://videolectures.net/eswc2015_paulheim_schema_org/
Keywords: Schema.org, Semantic annotation, Microdata, Linked Open Data, Linked Data principles, RDFa
Author: Paulheim, Heiko
Publisher: videolectures.net
Date created: 2015-07-15 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P50M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: expositive

Linked Data Query Processing: Execution Process

Abi Evans — Tue, 20 Oct 2015 19:20:00 +0000

These slides represent the fourth of a five-part tutorial presentation given at the 22nd International World Wide Web Conference (WWW 2013). The actual process of executing a Linked Data query may consist of two separate phases. During the first phase, a query execution system selects URIs and uses them to retrieve data from the queried Web. During a subsequent, second phase, the system generates the query result using the data retrieved in the first phase. Instead of separating these two phases, it is also possible to integrate the retrieval of data into the result construction process. Linked Data query execution approaches that apply the latter idea are referred to herein as integrated execution approaches. Analogously, separated execution approaches clearly separate data retrieval from result construction by two consecutive phases. This section discusses the general properties of both types of approaches before focusing on integrated execution approaches.

URL: http://dsg.uwaterloo.ca/LDQTut2013/LDQTut2013_4.pdf
Keywords: Link Traversal Based Query Execution (LTBQE), Information Retrieval (IR), Symmetric Hash Join (SHJ), Push-Based Implementation
Author: Hartig, Olaf
Date created: 2013-05-14 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: expositive

An Introduction to the Resource Description Framework

Abi Evans — Sat, 10 Oct 2015 12:05:44 +0000

This early article describes the RDF Data Model in its simplest form. Provides introduction, background information, and presents simple RDF syntax. MUCH has happened since this article has been published – observing the evolution of a key Semantic Web standard would likely be this resource's primary use.

URL: http://www.dlib.org/dlib/may98/miller/05miller.html
Keywords: Graph model, eXtensible Markup Language (XML), HTTP URIs, Triple
Author: Miller, Eric
Publisher: D-Lib Magazine
Date created: 1998-05-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: expositive