grlc Makes GitHub Taste Like Linked Data APIs
| Authors |
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| Publication date | 2016 |
| Host editors |
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| Book title | The Semantic Web : ESWC 2016 Satellite Events |
| Book subtitle | Heraklion, Crete, Greece, May 29-June 2, 2016 : revised selected papers |
| ISBN |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | The Semantic Web - ESWC 2016 Satellite Events |
| Pages (from-to) | 342-353 |
| Number of pages | 12 |
| Publisher | Cham: Springer |
| Organisations |
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| 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.
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| Document type | Conference contribution |
| Note | Revised version of a paper published in the SALAD 2016 workshop |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-319-47602-5_48 |
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