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SPARQL query verbalization for explaining semantic search engine queries

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8465 LNCS 426-441
DOI: 10.1007/978-3-319-07443-6_29
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Abstract

In this paper we introduce Spartiqulation, a system that translates SPARQL queries into English text. Our aim is to allow casual end users of semantic applications with limited to no expertise in the SPARQL query language to interact with these applications in a more intuitive way. The verbalization approach exploits domain-independent template-based natural language generation techniques, as well as linguistic cues in labels and URIs. © 2014 Springer International Publishing.

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Ell, B., Harth, A., & Simperl, E. (2014). SPARQL query verbalization for explaining semantic search engine queries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8465 LNCS, pp. 426–441). Springer Verlag. https://doi.org/10.1007/978-3-319-07443-6_29

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