SPARQL Query Verbalization for Explaining Semantic Search Engine Queries

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Provided by: University of South Florida
Topic: Big Data
Format: PDF
SPARQL is the W3C recommendation for querying and accessing RDF data. While it has found broad acceptance among semantic application developers, its usage among those who possess limited to no expertise in semantic technologies remains understandably limited. In this paper, the authors introduce Spartiqulation, a system that translates SPARQL queries into English text. Their 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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