professionalDevelopment – Linked Data for Professional Education

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Thu, 30 Jan 2020 18:51:39 +0000

URL: https://my.clevelandclinic.org/health/diseases/15241-bone-fractures/management-and-treatment
Keywords:
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Educational use: professionalDevelopment

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

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

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

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

Jena Full Text Search

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

This documentation explains how to configure and use the Full Text extension to Apache Jena's ARQ (the module is included in Fuseki). The extension combines SPARQL and full-text search via Lucene or ElasticSearch (built on Lucene). It gives applications the ability to perform indexed full-text searches within SPARQL queries. Although SPARQL allows the use of regular expressions in FILTER, this is a test on a value retrieved earlier in the query and its use is not indexed. In other words, if you're searching for occurrences of a specific term in the rdfs:label of a bunch of products, then the search will need to examine all selected rdfs:label statements and apply the regular expression to each label in turn. If there are many such statements and many such uses of regex, then it may be appropriate to consider using this extension to take advantage of the performance potential of full text indexing.

URL: http://jena.apache.org/documentation/query/text-query.html
Keywords: SPARQL, REGEX, FILTER, Apache Jena
Publisher: Apache Jena
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P2H
Educational use: professionalDevelopment

Medical Subject Headings (MeSH) RDF Linked Data (beta)

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

This links to the home page of beta version of the Medical Subject Headings (MeSH) data in RDF (Resource Description Framework). The National Library of Medicine (NLM) is seeking stakeholder input and feedback as part of a broader effort to evaluate the creation of an NLM Linked Data Service. This includes refining MeSH RDF and contributing use cases for future services. Includes links to documentation, a SPARQL endpoint query interface, and a download of the MeSH RDF data.

URL: https://id.nlm.nih.gov/mesh/
Keywords: Medical Subject Headings (MeSH), RDF, dataset
Publisher: National Library of Medicine (NLM)
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P5M
Educational use: professionalDevelopment
Interactivity type: mixed

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

SKOS and Linked Data

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

This slideshare presentation introduces SKOS and explains how it can be used to represent RDF in a simple way. It explains how SKOS differs from OWL a more formal system of semantics. Along the way, basic Linked Data Principles are explained. Includes links to references and demos, which explain the benefits of using SKOS as well as areas that need to be developed further.

URL: https://www.slideshare.net/antoineisaac/skos-and-linked-data
Keywords: SKOS (Simple Knowledge Organization System), KOS (Knowledge Organization System), Thesaurus, Labels
Author: Isaac, Antoine
Publisher: Europeana
Date created: 2010-09-14 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: professionalDevelopment
Educational audience: student
Interactivity type: expositive

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