Research on Mechanism of Agricultural FAQ Retrieval Based on Ontology

  • Authors:
  • Fang Wang;Guifa Teng;Lisheng Ren;JianBin Ma

  • Affiliations:
  • -;-;-;-

  • Venue:
  • SNPD '08 Proceedings of the 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
  • Year:
  • 2008

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Abstract

In this paper, an ontology-based system for the agricultural FAQ retrieval was presented. A small pool of candidate question-answering pairs and sentence similarity were obtained using ontology-based automatic classification. The best performance was got based on splitted vector space model and semantic concept. The experiment was made to test the effect of the system. The satisfying results were obtained which proved that the system could effectively improve the performance of the agricultural domain FAQ retrieval system comparing with the baseline Keyword FAQ system.