Grlc makes github taste like linked data APIs

34Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Building Web APIs on top of SPARQL endpoints is becoming common practice. It enables universal access to the integration favorable data space of Linked Data. In the majority of use cases, users cannot be expected to learn SPARQL to query this data space. Web APIs are the most common way to enable 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 development, in this paper we present grlc, a lightweight server that takes SPARQL queries curated in GitHub repositories, and translates them to Linked Data APIs on the fly.

Cite

CITATION STYLE

APA

Meroño-Peñuela, A., & Hoekstra, R. (2016). Grlc makes github taste like linked data APIs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9989 LNCS, pp. 342–353). Springer Verlag. https://doi.org/10.1007/978-3-319-47602-5_48

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free