• DocumentCode
    128745
  • Title

    The research and application of ontology-based information retrieval

  • Author

    Wulamu, Aziguli ; Yuchao Zhou ; Dezheng Zhang ; Hui Li ; Rui, Haike

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    1980
  • Lastpage
    1984
  • Abstract
    Traditional Chinese medicine (TCM) is the study of human physiology and pathology, and the prevention, diagnosis, and treatment of human diseases. The traditional Chinese medicine knowledge system is complex and its structure is huge. Therefore, it faces considerable obstacles in terms of knowledge sharing, exchanging and interfusing. Traditional information retrieval technology has made remarkable achievements in the Internet field. But information has defects of incomplete and high redundancy in the field of traditional Chinese medicine. Therefore constructing ontology-based knowledge base of traditional Chinese medicine domain is proposed and the information retrieval system based on ontology is developed. Firstly this paper introduces the present situation of information retrieval and expounds the relevant theories of ontology. Then the domain ontology of traditional Chinese medicinal construction is mainly introduced and the related techniques of information retrieval are analyzed and studied in detail, including query information processing, reasoning with the Jena, calculation of concepts correlation and sorting algorithms. Finally, with analysis and retrieval system of ancient texts of traditional Chinese medicine, the technology of information retrieval based on ontology is sufficiently validated.
  • Keywords
    inference mechanisms; medicine; ontologies (artificial intelligence); query processing; sorting; text analysis; Jena; ancient text analysis; concepts correlation; domain ontology; ontology-based information retrieval; query information processing; reasoning; sorting algorithms; traditional Chinese medicine; Cognition; Correlation; Information retrieval; Knowledge based systems; Medical diagnostic imaging; Ontologies; information retrieval; knowledge base; ontology; traditional Chinese medicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931493
  • Filename
    6931493