Fuzzy Information Retrieval Indexed by Concept Identification
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.
Unable to display preview. Download preview PDF.
- 1.Lee, J.H.: On the evaluation of Boolean operators in the extended boolean retrieval framework. In: Proceedings of the 17th SIGIR conference, pp. 182–190 (1994)Google Scholar
- 2.Baeza-Yates, R., et al.: Modern information retrieval. Addison-Wesley, Reading (1999)Google Scholar
- 4.Hirst, G., St-Onge, D.: Lexical chains as representations of context for the detection and correction of malapropisms. In: Fellbaum, C. (ed.) WordNet: An electronic lexical database, The MIT Press, Cambridge (1998)Google Scholar
- 7.This is available from Wordnet Online http://www.cogsci.princeton.edu/wn