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Info-Miner: Bridging Agent Technology with Approximate Information Retrieval

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Book cover Advances in Soft Computing — AFSS 2002 (AFSS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2275))

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Abstract

In this paper we discuss our research in developing an application for data gathering. The key ideas are to realize an agent-based architecture which merges different technologies and paradigms in order to discover and extract consistent patterns of knowledge from Web pages, that fully describe the user requests. This goal is achieved by embedding into deductive agents the ability to process approximate knowledge.

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Author information

Authors and Affiliations

  1. Dipartimento Matematica e Informatica, Universita’ di Salerno, via S. Allende, 84081, Baronissi (SA), Italy

    Vincenzo Loia, Paolo Luongo, Sabrina Senatore & Maria I. Sessa

Authors
  1. Vincenzo Loia
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  2. Paolo Luongo
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  3. Sabrina Senatore
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  4. Maria I. Sessa
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Editor information

Editors and Affiliations

  1. Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 B.T. Road, 700108, Calcutta, India

    Nikhil R. Pal

  2. Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Japan

    Michio Sugeno

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© 2002 Springer-Verlag Berlin Heidelberg

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Loia, V., Luongo, P., Senatore, S., Sessa, M.I. (2002). Info-Miner: Bridging Agent Technology with Approximate Information Retrieval. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_62

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  • DOI: https://doi.org/10.1007/3-540-45631-7_62

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43150-3

  • Online ISBN: 978-3-540-45631-5

  • eBook Packages: Springer Book Archive

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