• DocumentCode
    2728965
  • Title

    Knowledge Retrieval (KR)

  • Author

    Yao, Yiyu ; Zeng, Yi ; Zhong, Ning ; Huang, Xiangji

  • fYear
    2007
  • fDate
    2-5 Nov. 2007
  • Firstpage
    729
  • Lastpage
    735
  • Abstract
    With the ever-increasing growth of data and information, finding the right knowledge becomes a real challenge and an urgent task. Traditional data and information retrieval systems that support the current web are no longer adequate for knowledge seeking tasks. Knowledge retrieval systems will be the next generation of retrieval system serving those purposes. Basic issues of knowledge retrieval systems are examined and a conceptual framework of such systems is proposed. Theories and Technologies such as theory of knowledge, machine learning and knowledge discovery, psychology, logic and inference, linguistics, etc. are briefly mentioned for the implementation of knowledge retrieval systems. Two applications of knowledge retrieval in rough sets and biomedical domains are presented.
  • Keywords
    Computer science; Humans; Information processing; Information retrieval; Information technology; Knowledge engineering; Logic; Machine learning; Psychology; Rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence, IEEE/WIC/ACM International Conference on
  • Conference_Location
    Fremont, CA
  • Print_ISBN
    978-0-7695-3026-0
  • Type

    conf

  • DOI
    10.1109/WI.2007.113
  • Filename
    4427181