Gaz-Guide: Agent-Mediated Information Retrieval for Official Gazettes

  • Jyi-Shane Liu
  • Von-Won Soo
  • Chia-Ning Chiang
  • Chen-Yu Lee
  • Chun-Yu Lin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2132)


Information retrieval tasks concerns with leading the user to those documents that best match his/her information needs. We consider missing concepts and wrong terms in user query as the fundamental problem of information retrieval. We propose a multiagent system that assists information retrieval by mediating the user’s information needs and the semantic structure of the data domain. The multiagent system embeds both ontology and thesauri to traverse different cognitive spaces. During an interactive process, the user’s query is transformed and led to appropriate semantic constructs that enable effective retrieval. We consider the data domain of government official gazettes. A prototype system, Gaz-Guide, has been developed and experiments are conducted by recording system response to real users with practical questions. The initial results show encouraging sign of the utility and effectiveness of Gaz-Guide in articulating domain resources on thesauri and ontology and guiding users with interactive assistance.


Information Retrieval Digital Library Multiagent System User Query Index Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Jyi-Shane Liu
    • 1
  • Von-Won Soo
    • 2
  • Chia-Ning Chiang
    • 3
  • Chen-Yu Lee
    • 2
  • Chun-Yu Lin
    • 2
  1. 1.Department of Computer ScienceNational Chengchi UniversityTaipei
  2. 2.Department of Computer ScienceNational Tsing Hua UniversityHsinchu
  3. 3.Section of Government DocumentsNational Central LibraryTaipeiTaiwan, R.O.C.

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