A natural language interface of thorough coverage by concordance with knowledge bases

  • Authors:
  • Yong-Jin Han;Tae-Gil Noh;Seong-Bae Park;Se Young Park;Sang-Jo Lee

  • Affiliations:
  • Kyungpook National University, Daegu, South Korea;Kyungpook National University, Daegu, South Korea;Kyungpook National University, Daegu, South Korea;Kyungpook National University, Daegu, South Korea;Kyungpook National University, Daegu, South Korea

  • Venue:
  • Proceedings of the 15th international conference on Intelligent user interfaces
  • Year:
  • 2010

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Abstract

One of the critical problems in natural language interfaces is the discordance between the expressions covered by the interface and those by the knowledge base. In the graph-based knowledge base such as an ontology, all possible queries can be prepared in advance. As a solution of the discordance problem in natural language interfaces, this paper proposes a method that translates a natural language query into a formal language query such as SPARQL. In this paper, a user query is translated into a formal language by choosing the most appropriate query from the prepared queries. The experimental results show a high accuracy and coverage for the given knowledge base.