Ontologies and Soft Computing in Flexible Querying

[journal]

Full reference

M. Wallace, Ontologies and Soft Computing in Flexible Querying, Control and Cybernetics, Vol 2, 2009

Abstract

Flexible querying is all about providing users with more intuitive and ecient 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 identied 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 modied ontological structures, a modied agglomerative clustering approach to knowledge based information processing, a detailed prole modeling methodology and a novel approach to the handling of large and sparse transitive relations.

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1 known citations

1. F. Bobillo and U. Straccia, Aggregation operators for fuzzy ontologies, Applied Soft Computing, vol 13(9), pp. 3816-3830, 2013