An adaptive information retrieval system based on associative networks

作者: Michael Dittenbach , Dieter Merkl , Helmut Berger

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摘要: In this paper we present a multilingual information retrieval system that provides access to Tourism by exploiting the intuitiveness of natural language. particular, describe knowledge representation model underlying system. This approach is based on associative networks and allows definition semantic relationships between domain-intrinsic items. The network structure used define weighted associations items augments with fuzzy search strategy. particular strategy performed constrained spreading activation algorithm implements networks. Strictly speaking, take relatedness terms into account show, how yields beneficial results and, moreover, determines highly associated matches users' queries. Thus, combination constitutes evaluates therefore, means for implicit query expansion.

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