• DocumentCode
    2282357
  • Title

    The Building of a CBD-Based Domain Ontology in Chinese

  • Author

    Sui, Zhifang ; Zhao, Jun ; Kang, Wei ; Zhao, Qingliang

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Peking
  • Volume
    3
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    303
  • Lastpage
    306
  • Abstract
    This paper describes a method of building a medical ontology prototype in Chinese. During the procedure, we explored the following questions, which are crucial for the task of ontology engineering: (1) are there some more computer-understandable knowledge description models? We proposed a structural and fine-grained knowledge description model called concept-based description model (CBD) to describe the rich knowledge in the ontology. That is, to use other concept or the combination of the related concepts to represent the targeted concept, which is supposed to be more computer-understandable; (2) during large scale ontology engineering, how to use NLP technologies to reduce domain expertspsila work to the minimal? In our work, we used some NLP technologies to try to reduce domain expertspsila work to the minimal as possible as it can. The experiments show the significance of our method.
  • Keywords
    medical computing; natural language processing; ontologies (artificial intelligence); Chinese language; NLP technology; computer-understandable knowledge description model; concept-based description model; domain ontology building; medical ontology; ontology engineering; Biomedical engineering; Buildings; Computational linguistics; Computer science; Design engineering; Intelligent agent; Knowledge engineering; Large-scale systems; Natural languages; Ontologies; domain ontology; knowledge organization; natural language processing; term extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.183
  • Filename
    4740785