The project Linked Data for Professional Education (LD4PE), funded between 2014 and 2017 by the Institute of Museum and Library Studies (IMLS) and lead by the University of Washington Information School, developed a web-based exploratorium to support structured discovery of online learning resources about Linked Data. The project produced this website, which has been converted into a static site for preservation, and a Linked Data Competency Index. DCMI will keep this site online on a "best effort" basis as long as resources permit. The Internet Archive's Wayback Machine should be regarded as the source of archival copies for the long term.

Web-Scale Querying through Linked Data Fragments

To unlock the full potential of Linked Data sources, we need flexible ways to query them. Public SPARQL endpoints aim to fulfill that need, but their availability is notoriously problematic. As an alternative, the authors of this research paper introduce Linked Data Fragments, a publishing method that allows efficient offloading of query execution from servers to clients through a lightweight partitioning strategy.

URL: http://linkeddatafragments.org/publications/ldow2014.pdf
Keywords: Query, Scalability, Dereferencing, Semantic Web, SPARQL endpoint
Author: Van de Walle, Rik
Date created: 2014-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational audience: teacher-educationSpecialist

Competencies

Uses available tools, servers, and endpoints to issue queries against a dataset.

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Web-Scale Querying through Linked Data Fragments