Fuzzy information retrieval indexed by concept identification

Authors:
Bo-Yeong Kang;Dae-Won Kim;Hae-Jung Kim
Affiliations:
Information and Communications University, Daejeon, Korea;Information and Communications University, Daejeon, Korea;Information and Communications University, Daejeon, Korea
Venue:
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Year:
2005

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Abstract

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.