• DocumentCode
    684755
  • Title

    ACQA_onto: An ontology approach for restrain domain question answering system

  • Author

    Depeng Hu ; Wensheng Wang ; Nengfu Xie ; Cungen Cao

  • Author_Institution
    Inst. of Agric. Inf., Chinese Acad. of Agric. Sci., Beijing, China
  • fYear
    2012
  • fDate
    7-9 Dec. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presented a restrained domain ontology model for agriculture cultivation question answering system - ACQA_onto. The question answering system (QA) has become one effective approach for knowledge engineering research. Ontologies could make the restrain domain concepts of semantics being understood by computer, which have been one significant technique for question answering system. This paper provided introduction ontologies in general and subsequently, in particularly, shortly provided the definition of domain ontology for agriculture cultivation. In main part, this paper presented the restricted domain ontology models and concept level vector space model of information retrieval (IR). The ontological representations of documents for agriculture cultivation question answering system was presented, and descript the prototype of ACQA_onto, in which part focalized with the process of generating answers from question. The result of ACQA_onto was proposed and the future work of question answering system for agriculture cultivation was introduced briefly.
  • Keywords
    agriculture; knowledge engineering; ontologies (artificial intelligence); question answering (information retrieval); ACQA_onto; agriculture cultivation question answering system; document ontological representations; information retrieval; knowledge engineering research; restrain domain question answering system; restrained domain ontology model; restricted domain ontology models; semantics; vector space model; agriculture cultivation; domain ontology; question answering system; vector space model;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
  • Conference_Location
    Shenzhen
  • Electronic_ISBN
    978-1-84919-641-3
  • Type

    conf

  • DOI
    10.1049/cp.2012.2341
  • Filename
    6755720