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Constructing an Information Retrieval System with neural networks

  • Information Retrieval
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 856))

Abstract

This paper describes an Information Retrieval System (IRS) based on the neural approach. Our goal is to construct an IRS able to evolve. We propose a network containing document, term and author nodes and a set of links between these different nodes. A set of activation/propagation rules on which is based the information retrieval and the queries expansion are presented. At last, we propose a learning strategy inspired by the backpropagation algorithm for dynamically organizing the information base.

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Dimitris Karagiannis

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© 1994 Springer-Verlag Berlin Heidelberg

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Layaida, R., Boughanem, M., Caron, A. (1994). Constructing an Information Retrieval System with neural networks. In: Karagiannis, D. (eds) Database and Expert Systems Applications. DEXA 1994. Lecture Notes in Computer Science, vol 856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58435-8_222

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  • DOI: https://doi.org/10.1007/3-540-58435-8_222

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58435-3

  • Online ISBN: 978-3-540-48796-8

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