grlc Makes GitHub Taste Like Linked Data APIs

Albert Meroño-Peñuela, Rinke Hoekstra

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Building Web APIs on top of SPARQL endpoints is becoming a common practice to enable universal access to the integration favorable dataspace of Linked Data. However, the Linked Data community cannot expect users to learn SPARQL to query this dataspace, and Web APIs are the most common way of enabling programmatic access to data on the Web. However, the implementation of Web APIs around Linked Data is often a tedious and repetitive process. Recent work speeds up this
Linked Data API construction by wrapping it around SPARQL queries, which carry out the API functionality under the hood. Inspired by this, in this paper we present grlc, a lightweight server that translates SPARQL queries curated in GitHub repositories to Linked Data APIs on the fly.
LanguageEnglish
JournalCEUR Workshop Proceedings
Volume1629
DOIs
Publication statusPublished - 2016

Fingerprint

Application programming interfaces (API)
Servers

Keywords

  • Git
  • GitHub
  • Linked data APIs
  • SPARQL

Cite this

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grlc Makes GitHub Taste Like Linked Data APIs. / Meroño-Peñuela, Albert; Hoekstra, Rinke.

In: CEUR Workshop Proceedings, Vol. 1629, 2016.

Research output: Contribution to JournalArticleAcademicpeer-review

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