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.

Querying Linked Data using Semantic Relatedness: A Vocabulary Independent Approach

Ideally, a query mechanism for Linked Data should abstract users from the representation of data. This work focuses on the investigation of a vocabulary
independent natural language query mechanism for Linked Data, using
an approach based on the combination of entity search, a Wikipedia-based
semantic relatedness measure and spreading activation.

URL: https://www.lri.fr/~cr/Publications_Master_2012/BrigitteSafar/Freitas_NLDB_2011.pdf
Keywords: Vocabulary, Query, DBpedia, Semantic Relatedness, Named Entity Recognition, Natural Language
Author: da Silva, Joao Carlos Pereira
Date created: 2012-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: expositive

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Querying Linked Data using Semantic Relatedness: A Vocabulary Independent Approach