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.

Accessing Relational Data with RDF Queries and Assertions

This paper presents a hybrid RDF storage model that combines relational data with arbitrary RDF metadata, as implemented in the RDF storage layer of the Samizdat open publishing and collaboration engine, and explains the supporting algorithms for online translation of RDF queries and conditional assertions into their relational equivalents. Proposed model allows to supplement legacy databases with RDF metadata without sacrificing the benefits of RDBMS technology.

URL: http://www.nongnu.org/samizdat/papers/rel-rdf.pdf
Keywords: Relational Model, RDBMS, Triple store, Predicate mapping, Query pattern translation
Author: Borodaenko, Dmitry
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: expositive

Competencies

Knows methods such as Direct Mapping of Relational Data to RDF (2012) for transforming data from the relational model (keys, values, rows, columns, tables) into RDF graphs.

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Accessing Relational Data with RDF Queries and Assertions