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Ontologies and soft computing in flexible querying

Wallace M.

Control and Cybernetics

2009

Vol. 38, no 2

481-507

Flexible querying is all about providing users with more intuitive and efficient means of interaction with information or document bases, so that retrieving the items they are interested in becomes easier and more pleasant. In this process three steps may be identified as crucial in determining the overall result: understanding the user's request, understanding the content of what is available, and matching between the two. In this paper we present an integrated soft computing framework to tackle all three steps by incorporating fuzzy relational knowledge stored in modified ontological structures, a modified agglomerative clustering approach to knowledge based information processing, a detailed profile modeling methodology, and a novel approach to handling of large and sparse transitive relations.