The paper proposes an approach to information retrieval based on the use of a fuzzy conceptual structure (ontology) that is used both for indexing document and expressing 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. In this approach, 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 is based on the computation of a multiple-valued degree of inclusion. Some candidate implications are discussed on the basis of their respective semantics. The proposed approach generalizes standard fuzzy information retrieval and its evaluation on benchmark example is also presented. © 2006 Elsevier B.V. All rights reserved.

Baziz, M., Prade, H., Pasi, G., Boughanem, M. (2006). A fuzzy logic approach to information retrieval using an ontology-based representation of documents. In E. Sanchez (a cura di), Fuzzy Logic and the Semantic Web (pp. 363-377). Elsevier [10.1016/S1574-9576(06)80020-1].

A fuzzy logic approach to information retrieval using an ontology-based representation of documents

PASI, GABRIELLA;
2006

Abstract

The paper proposes an approach to information retrieval based on the use of a fuzzy conceptual structure (ontology) that is used both for indexing document and expressing 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. In this approach, 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 is based on the computation of a multiple-valued degree of inclusion. Some candidate implications are discussed on the basis of their respective semantics. The proposed approach generalizes standard fuzzy information retrieval and its evaluation on benchmark example is also presented. © 2006 Elsevier B.V. All rights reserved.
Capitolo o saggio
fuzzy, logic, approach, information, retrieval, ontology, based, representation, documents
English
Fuzzy Logic and the Semantic Web
Sanchez, E
2006
0-444-51948-3
1
Elsevier
363
377
Baziz, M., Prade, H., Pasi, G., Boughanem, M. (2006). A fuzzy logic approach to information retrieval using an ontology-based representation of documents. In E. Sanchez (a cura di), Fuzzy Logic and the Semantic Web (pp. 363-377). Elsevier [10.1016/S1574-9576(06)80020-1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/20833
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