• DocumentCode
    2152205
  • Title

    A Query-Based Medical Information Summarization System Using Ontology Knowledge

  • Author

    Chen, Ping ; Verma, Rakesh

  • Author_Institution
    Dept. of Comput. & Math. Sci., Houston Univ., TX
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    As huge amounts of knowledge are created rapidly, effective information access becomes an important issue. Especially for critical domains, such as medical and financial areas, efficient retrieval of concise and relevant information is highly desired. In this paper we propose a new user query based text summarization technique that makes use of unified medical language system, an ontology knowledge source from National Library of Medicine. We compare our method with keyword-only approach, and our ontology-based method performs clearly better. Our method also shows potential to be used in other information retrieval areas
  • Keywords
    medical information systems; ontologies (artificial intelligence); National Library of Medicine; keyword-only approach; ontology knowledge; ontology-based method; query-based medical information summarization system; unified medical language system; user query based text summarization technique; Abstracts; Computer science; Data mining; Information analysis; Information retrieval; Libraries; Ontologies; Search engines; Unified modeling language; World Wide Web; Biomedical Ontology; Information Retrieval; Text Summarization; UMLS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2517-1
  • Type

    conf

  • DOI
    10.1109/CBMS.2006.25
  • Filename
    1647543