Text, Speech and Dialogue

Volume 3658 of the series Lecture Notes in Computer Science pp 179-186

Fuzzy Information Retrieval Indexed by Concept Identification

  • Bo-Yeong KangAffiliated withInformation and Communications University
  • , Dae-Won KimAffiliated withInformation and Communications University
  • , Hae-Jung KimAffiliated withInformation and Communications University

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To retrieve relevant information, indexing should be achieved using the concepts of the document that a writer intends to highlight. Moreover, the user involvement is increasingly required to extract relevant information from information sources. Therefore, in the present work we propose a fuzzy retrieval model indexed by concept identification: (1) a concept identification based indexing and (2) a novel fuzzy ranking model. The concept based indexing identifies index terms by considering the concepts of a document, and a novel fuzzy ranking model based on the user preference is presented, which is able to calculates the relevance ranking based on the user preference.