In this paper an information retrieval approach is proposed based on the use of a fuzzy conceptual structure used both to index document and to express user queries. The conceptual structure is hierarchical and it encodes the knowledge of the topical domain of the considered documents. It is formally represented as a weighted tree. The evaluation of conjunctive queries is based on the comparison of minimal sub-trees containing the two sets of nodes corresponding to the concepts expressed in the document and the query respectively. The comparison uses different multiple-valued degrees of inclusion, which are discussed. The proposed approach generalizes standard fuzzy information retrieval. Its evaluation is also presented.
Baziz, M., Boughanem, M., Pasi, G., Prade, H. (2005). A fuzzy set approach to concept-based information retrieval. In EUSFLAT Conference, Barcelona, September 2005 (pp.1287-1292).
A fuzzy set approach to concept-based information retrieval
PASI, GABRIELLA;
2005
Abstract
In this paper an information retrieval approach is proposed based on the use of a fuzzy conceptual structure used both to index document and to express user queries. The conceptual structure is hierarchical and it encodes the knowledge of the topical domain of the considered documents. It is formally represented as a weighted tree. The evaluation of conjunctive queries is based on the comparison of minimal sub-trees containing the two sets of nodes corresponding to the concepts expressed in the document and the query respectively. The comparison uses different multiple-valued degrees of inclusion, which are discussed. The proposed approach generalizes standard fuzzy information retrieval. Its evaluation is also presented.
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