SPARQL Query Verbalization for Explaining Semantic Search Engine Queries

@inproceedings{Ell2014SPARQLQV,
  title={SPARQL Query Verbalization for Explaining Semantic Search Engine Queries},
  author={Basil Ell and Andreas Harth and Elena Paslaru Bontas Simperl},
  booktitle={ESWC},
  year={2014}
}
  • Basil Ell, Andreas Harth, Elena Paslaru Bontas Simperl
  • Published in ESWC 2014
  • Computer Science
  • 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. 

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