• DocumentCode
    2422533
  • Title

    On automatic construction of based-NLP Chinese medicine ontology concept’s description architacture

  • Author

    Liu, Yao ; Chen, XueFei ; Sui, Zhifang ; Wang, Huili ; Zhou, Yang

  • Author_Institution
    Inst. of Sci. & Tech. Inf. of China, Beijing
  • fYear
    2008
  • fDate
    7-9 July 2008
  • Firstpage
    50
  • Lastpage
    55
  • Abstract
    This article makes further study on data needed by automatic construction for Chinese medicinal ontologypsila concept description architecture, reconstructs and uses recognized knowledge in Chinese medicinepsilas domain by theory and technology of NLP. Based on realizing Chinese medicine knowledge description architecturepsilas automatic construction and acquiring successfully, this article use expertspsila knowledge to realize au-learning system of limited textpsilas ontology and try exploring domain ontologypsila evolution .it revolve bottleneck problems of ontology study effectively to lay the data base for Chinese knowledgepsilas dining and use. Untill now, this has been more ideal and applied method and its successful study would be provide theory gist and technology support for professional domain ontologypsilas automatic construction.
  • Keywords
    learning (artificial intelligence); medical information systems; medicine; natural language processing; ontologies (artificial intelligence); Chinese medicine ontology; au-learning system; domain ontology evolution; knowledge description architecture; natural language processing; text ontology; Computational linguistics; Data preprocessing; History; Humans; Information resources; Information retrieval; Medical diagnostic imaging; Medical tests; Ontologies; Thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1723-0
  • Electronic_ISBN
    978-1-4244-1724-7
  • Type

    conf

  • DOI
    10.1109/ICALIP.2008.4589992
  • Filename
    4589992