• DocumentCode
    2868736
  • Title

    A semantic retrieval model based on ontologies and question-answer modes

  • Author

    Li Zhiping ; Ran Jie ; Sun, Yu

  • Author_Institution
    Center of Modern Educ. Technol., Yunnan Normal Univ., Kunming, China
  • Volume
    13
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Aiming at the problem that users often can not retrieve useful information or the retrieved information is inaccurate, in this paper, a semantic retrieval model based on ontologies and question-answer modes is put forward. Domain knowledge representation is based on ontologies in order to improve the sharing and reusing of knowledge. Through a systematic in-depth analysis of users´ questions, the question-answer modes are given. Then, the model and its characteristics are analyzed in detail. The introduction of ontologies and question-answer modes can improve the efficiency of semantic retrieval in some degree, hence, the precision and recall of semantic retrieval would be better guaranteed.
  • Keywords
    information retrieval; ontologies (artificial intelligence); semantic Web; ontologies; question answer modes; semantic retrieval model; useful information retrieval; Education; Materials; Multimedia communication; Ontologies; Semantics; User interfaces; lexical analysis; ontologies; question-answer modes; semantic retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622879
  • Filename
    5622879