New Comp Index – Linked Data for Professional Education

0 to 60 on SPARQL Queries in 50 Minutes

Sun, 06 May 2018 02:22:48 +0000

This webinar provides an introduction to SPARQL, a query language for RDF. Users will gain hands on experience crafting queries, starting simply, but evolving in complexity. These queries will focus on coinage data in the SPARQL endpoint hosted by http://nomisma.org with numismatic concepts defined in a SKOS-based thesaurus and physical specimens from three major museum collections (American Numismatic Society, British Museum, and Münzkabinett of the Staatliche Museen zu Berlin) linked to these concepts. Results generated from these queries in the form of CSV may be imported directly into Google Fusion Tables for immediate visualization in the form of charts and maps. Links to all resources necessary to practice the queries covered are available online and referenced from the webinar presentation.

The webinar uses the following SPARQL constructs: SELECT, WHERE, LIMIT, ORDER BY (ASC), FILTER, DISTINCT, regex(), count(), lang(), langMatches().

Access to all SPARQL queries used in the webinar are available at http://numishare.blogspot.com/2015_05_01_archive.

URL: https://www.asist.org/events/webinars/dcmi-webinar-from-0-to-60-on-sparql-queries-in-50-minutes/
Keywords: visualization (map geolocations), Google Fusion Tables, visualization (statistics), geographic queries, UNION, OPTIONAL, sorting, filtering, SPARQL syntax
Author: Ethan Gruber
Publisher: DCMI
Date created: 2014-01-01 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H00M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

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

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

Open Refine 101

Fri, 25 Aug 2017 08:34:44 +0000

This free online course explains that while data cleaning, preparation and enrichment take up an enormous amount of time, and is nevertheless a crucial stage in the data science methodology. However, data transformation tools haven’t fully caught up with the popularity of data analysis. Learn why domain experts need powerful yet easy-to-use interfaces to explore new data sets, normalize them and process them via innovative services often available via an API only. The instructor demonstrates the strengths of OpenRefine, which are that it offers a self-service agile and iterative interface for data discovery and preparation, as well as an easy-to-learn scripting language.

URL: https://cognitiveclass.ai/courses/introduction-to-openrefine/
Keywords: Google Refine, General Refine Expression Language (GREL), Data enrichment, Data cleansing
Author: Magdinier, Martin
Publisher: Cognitive Class
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P7H
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: mixed

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

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

Using the Convert CSV to RDF ingest tool

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

This guide will walk through the use of the Convert CSV to RDF tool, a semi-automated method of converting comma separated or tab separated text files into RDF that can be displayed in VIVO. These files should include one row of data per record (e.g., a person or publication) and represent the fields or properties associated with each record in separate columns within the row, much as the values appear in a spreadsheet. The most common pattern of loading CSV files involves one CSV file per type of data to be loaded. Note, the current ingest tools involve working through a number of steps from original source data files to the appearance of new data in VIVO. The process requires some understanding of semantic web data modeling and some training.

URL: https://wiki.duraspace.org/display/VIVODOC19x/Using+the+Convert+CSV+to+RDF+ingest+tool
Keywords: CSV (Comma Separated Values), VIVO Ontology for Researcher Discovery, SPARQL
Author: Gross, Benjamin
Publisher: Duraspace
Date created: 2017-03-16 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: mixed

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

URI design for RDF conversion of CSV-based data

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

The sharing of comma-separated files is very common, and a common set of problems arise upon the receipt and processing of data within this format. The RDF vocabulary described in this document provides interpretation instructions to a tool that converts tabular based data into RDF appropriate for linked data publishing. Links to a page which describes a Java-based tool that follows the interpretation vocabulary described here and provides a set of shell script tools to facilitate automatic conversion.

URL: https://data-gov.tw.rpi.edu/wiki/URI_design_for_RDF_conversion_of_CSV-based_data
Keywords: CSV (Comma Separated Values), HTTP URIs, VoID (Vocabulary of Interlinked Datasets)
Author: Williams, Gregory Todd
Publisher: Tetherless World Constellation
Date created: 2011-01-21 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M

Tarql: SPARQL for Tables

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

Tarql is a command-line tool for converting CSV files to RDF using SPARQL 1.1 syntax. In short, a CSV file’s contents are input into a SPARQL query as a table of bindings. This allows manipulation of CSV data using the full power of SPARQL 1.1 syntax, and in particular the generation of RDF using CONSTRUCT queries. Includes design patterns and examples. Discusses how to deal with variations in header rows, delimiters, quotes and character encoding encountered in CSV/TSV files.

URL: http://tarql.github.io/
Keywords: CSV (Comma Separated Values), SPARQL CONSTRUCT, SPARQL OFFSET, Apache Jena, Java (programming language)
Author: Cyganiak, Richard
Date created: 2017-06-22 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M