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The Information Search System Using Neural Network and Fuzzy Clustering Based on Mobile Agent

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3481))

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Abstract

Nowadays, Internet is generally useful for intelligent information search system that would satisfy user’s need. But most of the current agents are each independent and depend on a platform in the information retrieval system. In addition, it is possible to get unreliable information in a distributed environment because of inefficient communication and cooperation among agents. To solve these problems, we propose the searching mechanism based on ontology using mobile agent which is platform independent and uses intelligent classifier among agents. This mechanism improves the efficiency of cooperation and information processing so that the user who requests for the location of information can find it accurately and rapidly. Our experiment showed that the proposed system provided higher rate of accuracy for searching information.

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References

  1. Pilato, G., Vitabile, S.: A Neural Multi-Agent Based System for Smart Html Pages Retrieval. IEEE, Los Alamitos (2003)

    Google Scholar 

  2. Marques, P., Simos, P., Silvam, L.F.B.: Providing Applications with Mobile Agent Technology. IEEE, Los Alamitos (2001)

    Google Scholar 

  3. Pacheco, P.S.: Parallel Programming with MPI

    Google Scholar 

  4. Fausett, L.: Fundamentals of neural networks, pp. 59–79. Prentice Hall, Englewood Cliffs (2000)

    Google Scholar 

  5. Cockayne, W.T., Zyda, M.: Mobile Agents. Prentice-Hall, Englewood Cliffs (1997)

    Google Scholar 

  6. Gennari, J., Musen, M.A., Fergerson, R.W., Grosso, W.E., Cruby, M., Eriksson, N.N.F.: The Evolution of protege an Evironment for Knowledge-Based systems Development, Technical Report (2002)

    Google Scholar 

  7. Noy, N.F., Fergerson, R.W.: The knowledge model of protégé-2000: Combining interoperability and flexibility. In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol. 1937, pp. 17–32. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  8. White, J.: Telescript Technology: Mobile Agents. MIT Press, Cambridge (1997)

    Google Scholar 

  9. Mobile Agent, OMG. : Mobile Agent Facility Specification (2000), available at http://www.omg.org/

  10. Mobile Agent, available at, http://www.gurugail.com/Agent/page.html?subject=mobileAgent.html

  11. Joshi, A., Krishnapuram, R.: Robust Fuzzy Clustering Methods to Support Web Mining, Tech. Rep., Department of Computer Engineering and Computer Science, University of Missouri Columbia (1998)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Kunsan National University, 68 Miryong-dong, Kunsan, Chonbuk, 573-701, South Korea

    Jaeseon Ko, Bobby D. Gerardo, Jaewan Lee & Jae-Jeong Hwang

Authors
  1. Jaeseon Ko
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  2. Bobby D. Gerardo
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  3. Jaewan Lee
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  4. Jae-Jeong Hwang
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, P.O. Box, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, P.O. Box, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Ko, J., Gerardo, B.D., Lee, J., Hwang, JJ. (2005). The Information Search System Using Neural Network and Fuzzy Clustering Based on Mobile Agent. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424826_22

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  • DOI: https://doi.org/10.1007/11424826_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25861-2

  • Online ISBN: 978-3-540-32044-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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