• DocumentCode
    501151
  • Title

    Build Concept Space for Domain of Government Policy Research

  • Author

    Hui, Zhao ; Jie, Peng ; Ying, Su

  • Author_Institution
    Inst. of Sci. & Tech. Inf. of China (ISTIC), Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    327
  • Lastpage
    331
  • Abstract
    Efficient search and demonstration is a hot topic in recent years. But by now, most techniques let information creeping rather than shrinking. In this paper, the government decision-making researchers´ information needs were investigated. This survey showed that the information needs of policy researchers were not the more the better, but concise. Based on the investigation, professional information sources were identified, domain specific vocabularies were established, documents were filtered and indexed. In order to improve the found probability of new concept, the co-occurrence analysis algorithms were adjusted, and the results of the analysis were carried out in a visualizing way.
  • Keywords
    decision making; government data processing; information filtering; build concept space; cooccurrence analysis algorithms; decision-making researcher information; document filtering; domain specific vocabularies; government policy research; information creeping; professional information sources; Algorithm design and analysis; Data mining; Information analysis; Information retrieval; Information technology; Local government; Space technology; Technology management; Visualization; Vocabulary; concept space; government; information retrieval; policy research; semantic retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.460
  • Filename
    5231189