New A Fuzzy Spectral Approach to Information Integration in a Search Engine
Galina Korotkikh
Faculty of Informatics and Communication Central Queensland University Mackay, Queensland, 4740 Australia email: [e-mail]
Abstract. The problem of information integration is important for upgrading a search engine to a question-answering system. In the paper we consider a new fuzzy spectral approach to information integration in a search engine. The approach employs a series of variance-covariances matrices and suggests the eigenvalue spectra of the matrices as important characteristics of information integration. We show that the characteristics can be described in terms of eigenvalue dynamics. Through computational experiments we have identied an eigenvalue dynamics that can be eciently computed by using the quadratic trace of the variance-covariance matrix. Moreover, this dynamics shows a property that can be interpreted as the eigenvalue integration. This suggests that the spectral characteristics are connected with an integration mechanism. The fuzzycation of eigenvalues plays a key role in the observation of the dynamics. This may support the idea that fuzziness is an integral part of information integration.
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Introduction
Recently, Lot Zadeh has suggested that search engines should be upgraded to question-answering systems with the ability to integrate an answer to a query by using a number of information parts [1]. To realize this integration function a search engine needs the capacity to identify the dependencies that may arise between the information parts. In general, the problem of information integration is very challenging and remains unresolved. In the Internet search context it may be further complicated by a large number of information parts involved. Therefore, even identication of p...
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