professional – Linked Data for Professional Education

Eurostat Linked Data

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

his is a Linked Data version of the Eurostat data with the goal to provide 5 star Linked Open Data on the European level, in a contextually rich and up-to-date manner, useful for ETL-style business analysis or data warehousing purposes with benefits including but not limited to: It allows for a straight-forward comparison of statistical indicators across EU countries; Through providing context for statistics it facilitates the interpretation process; Enables one to re-use observations in a fine-grained way. A SPARQL endpoint allows the user to query the entire metadata, including DSDs and dictionaries. Contains SPARQL queries kindly provided by Søren Roug from the European Environment Agency (EEA).

URL: http://eurostat.linked-statistics.org/
Keywords: Extract, Transform, Load (ETL), 5-Star Linked Open Data, SPARQL endpoint, Dataset, RDF
Author: Roug, Søren
Publisher: DERI
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: mixed

Linked Statistical Data Analysis

Sun, 13 Aug 2017 08:18:11 +0000

Linked Data design principles are increasingly employed to publish and consume high-fidelity, heterogeneous statistical datasets in a distributed fashion. While vast amounts of linked statistics are available, access and reuse of the data is subject to expertise in corresponding technologies. There exists no user-centered interfaces for researchers, journalists and interested people to compare statistical data retrieved from different sources on the Web. Given that the RDF Data Cube vocabulary is used to describe statistical data, its use makes it possible to discover and identify statistical data artifacts in a uniform way. In this article, the design and implementation of a user-centric application and service is presented. Behind the scene, the platform utilizes federated SPARQL queries to gather statistical data from distributed data stores. The R language for statistical computing is employed to perform statistical analyses and visualizations. The Shiny application and server bridges the front-end Web user interface with R on the server-side in order to compare statistical macrodata, and stores analyses results in RDF for future research. As a result, distributed linked statistics with accompanying provenance data can be more easily explored and analysed by interested parties.

URL: http://csarven.ca/linked-statistical-data-analysis
Keywords: Data analysis, R (programming language), Shiny server, Apache Jena, Federated queries
Author: Riedl, Reinhard
Publisher: CEUR (Central Europe Workshop Proceedings)
Date created: 2013-07-07 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

Converting Relational Data Into RDF Format

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

This tutorial shows two different methods of converting or materializing relational data into RDF graph data format: the D2RQ based method and the SQL based method. The D2RQ based method provides customizable mapping files that allow users to specify the generation of URIs, enabling the reuse of URIs across different columns, tables, schemas, or even databases. URI reuse here means using the same URI to represent the same resource. The SQL-based approach, as provided in this tutorial, does not handle escapes, character encoding, new lines, tabs, and other special characters.

URL: http://www.oracle.com/webfolder/technetwork/tutorials/obe/db/11g/r1/prod/datamgmt/relational_into_rdf/relational_data_into_rdf_format_otn.htm
Keywords: D2RQ Mapping Language, SQL (Structured Query Language), N-Triples, N3
Publisher: Oracle
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: instruction
Educational audience: professional
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

Linking Lives: Creating an End-User Interface Using Linked Data

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

This article describes how LOCAH, a JISC-funded project working to make data from the Archives Hub available as Linked Data, continued on in a new form as "Linking Lives". Biographical data is presented on pages which are populated entirely by Linked Data from various authoritative sources (e.g., VIAF, DBpedia). One challenge faced involved data collection via the application' server vs client's web browse. Another was whether to reconcile of multiple source URIs via creation and persistence of a new URI or to map multiple URIs using the "owl:sameAs property".

URL: http://www.niso.org/publications/isq/2012/v24no2-3/stevenson/
Keywords: Linked Open Data (LOD), Libraries, Archives, and Museums (LAMs), HTTP URIs
Author: Stevenson, Jane
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: P20M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

Linked Data Vocabulary Management: Infrastructure Support, Data Integration, and Interoperability

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

This article discusses the shift in popular approaches to large-scale metadata management and interoperability. These approaches are rooted in Semantic Web technologies, such as the Resource Description Framework (RDF). In the library community, this trend has accelerated since the W3C re-framed many of the enabling technologies in terms of Linked Open Data (LOD). As more and more RDF-based metadata become available, a lack of established best practices for vocabulary development and management is leading to a certain level of vocabulary chaos. This article discusses strategies for vocabulary publishing, discovery, evaluation, and mapping have the potential to change the conversation significantly.

URL: http://dx.doi.org/10.3789/isqv24n2-3.2012.02
Keywords: Application profile, Metadata registries, Vocabulary, Dublin Core Metadata Initiative (DCMI), Linked Open Data (LOD), World Wide Web Consortium (W3C)
Author: Phipps, Jon
Publisher: Information Standards Quarterly
Date created: 2012-05-15 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

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

Linked Data: Evolving the Web into a Global Data Space

Thu, 04 May 2017 06:59:04 +0000

This e-book gives an overview of the principles of Linked Data as well as the "Web of Data" that has emerged through the application of these principles. It discusses patterns for publishing Linked Data, describes deployed Linked Data applications, and examines their architecture.

URL: http://linkeddatabook.com/editions/1.0/
Keywords:
Author: Bizer, Christian
Publisher: Morgan & Claypool
Date created: 2011-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P2H
Educational audience: professional
Interactivity type: expositive

OWL "Same As"

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

This PowerPoint presentation explains the role which concepts from thesauri and taxonomies play in Linked Data. It briefly discusses ontologies in general before moving on to OWL (Web Ontology Language). Discusses the advantages and drawbacks of mixing vocabularies (e.g., OWL, RDFS, SKOS) and trade-offs between simplicity and expressivity. Focuses on the importance of not trying to force relationship types when they are not appropriate (e.g., "broader than" or "narrower than" when no hierarchy exists; "same as" when two objects are not exact matches).

URL: https://github.com/elsevierlabs/LD4PE/files/877579/OWL_SameAs.pptx
Keywords: Web Ontology Language (OWL), Taxonomy, Thesaurus, Equivalence properties
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