Fuzzy Information Retrieval Indexed by Concept Identification
- Cite this paper as:
- Kang BY., Kim DW., Kim HJ. (2005) Fuzzy Information Retrieval Indexed by Concept Identification. In: Matoušek V., Mautner P., Pavelka T. (eds) Text, Speech and Dialogue. TSD 2005. Lecture Notes in Computer Science, vol 3658. Springer, Berlin, Heidelberg
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.
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