Natural language query interpretation into SPARQL using patterns

  • Pradel C
  • Haemmerlé O
  • Hernandez N
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Our purpose is to provide end-users with a means to query ontology based knowledge bases using natural language queries and thus hide the complexity of formulating a query expressed in a graph query language such as SPARQL. The main originality of our approach lies in the use of query patterns. In this article we justify the postulate sup- porting our work which claims that queries issued by real life end-users are variations of a few typical query families. We also explain how our approach is designed to be adaptable to different user languages. Evalua- tions on the QALD-3 data set have shown the relevancy of the approach. 1

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  • SGR: 84924787975
  • SCOPUS: 2-s2.0-84924787975
  • ISSN: 16130073
  • PUI: 602989441


  • Camille Pradel

  • Ollivier Haemmerlé

  • Nathalie Hernandez

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