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A new fuzzy spectral approach to information integration in a search engine

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posted on 06.12.2017, 00:00 by Galina Korotkikh
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 identified an eigenvalue dynamics that can be efficiently 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 fuzzyfication 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.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Editor

Nikravesh M; Zadeh LA; Kacprzyk J

Parent Title

Soft computing for information processing and analysis

Start Page

327

End Page

338

Number of Pages

12

ISBN-10

3540229302

Publisher

Springer

Place of Publication

Berlin

Open Access

No

External Author Affiliations

Faculty of Business and Informatics; TBA Research Institute;

Era Eligible

Yes

Number of Chapters

21

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