grlc Makes GitHub Taste Like Linked Data APIs
| Authors |
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| Publication date | 2016 |
| Host editors |
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| Book title | Proceedings of the 4th Workshop on Services and Applications over Linked APIs and Data |
| Book subtitle | co-located with the 13th Extended Semantic Web Conference (ESWC 2016) : Crete, Greece, May 29, 2016 |
| Series | CEUR Workshop Proceedings |
| Event | The Semantic Web - ESWC 2016 Satellite Events |
| Article number | 7 |
| Number of pages | 8 |
| Publisher | Aachen: CEUR-WS |
| Organisations |
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| 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.
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| Document type | Conference contribution |
| Language | English |
| Published at | http://ceur-ws.org/Vol-1629/paper7.pdf |
| Other links | http://ceur-ws.org/Vol-1629/ |
| Downloads |
paper7
(Final published version)
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| Permalink to this page | |
