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A Non-Euclidean Model for Web Retrieval

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Web-Age Information Management (WAIM 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1846))

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Abstract

A non-Euclidean model is proposed for resolving problems in similarity-based retrieval. This model establishes a theoretical basis and implementational guidelines for designing similarity-based Web retrieval systems.

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References

  1. Berge, C. Topological Spaces Including a Treatment of Multi-Valued Functions, Vector Spaces and Convexity. New York: Dover, 1997.

    Google Scholar 

  2. Bredon, G.E. Topology & Geometry. New York: Springe-Verlag, p. 69, 1995.

    Google Scholar 

  3. Cipra, B. What’s Happening in the Mathematical Sciences, Vol. 1. Providence, RI: Amer. Math. Soc., p. 27, 1993.

    MATH  Google Scholar 

  4. Conlon, L. Differentiable Manifolds: A First Course. Boston, MA: Birkhuser, 1993.

    MATH  Google Scholar 

  5. DoCarmo, M.P. Riemannian Geometry. Boston, MA: Birkhauser, 1992.

    Google Scholar 

  6. Gray, A. “Metrics on Surfaces. ” Ch. 15 in Modern Differential Geometry of Curves and Surfaces with Mathematica, 2nd ed. Boca Raton, FL: CRC Press, 1997.

    Google Scholar 

  7. Jones, W.P. and Furnas, G.W. “Pictures of relevance: a geometric analysis of similarity measure”. Journal of the American Society for Information Science, 38, 420–446, 1987.

    Article  Google Scholar 

  8. McGill, M.J., Koll, M., and Noreault, T. An evaluation of factors affecting document ranking by information retrieval systems. School of Information Studies, Syracuse University, Syracuse, New York 13210, 1979.

    Google Scholar 

  9. Munkres, J.R. Topology: A First Course. Englewood Cliffs, NJ: Prentice-Hall, 1975.

    MATH  Google Scholar 

  10. Parsaye, K., Chignell, M., Khoshafian, S, and Wong, H. Intelligent Databases: Object-Oriented, Deductive Hypermedia Technologies John Wiley & Sons, Inc., 1989.

    Google Scholar 

  11. van Rijsbergen, C. J. Information Retrieval, London: Butterworth, 1979.

    Google Scholar 

  12. Salton, G. and McGill, M. J. Introduction to Modern Information Retrieval. New York, McGraw-Hill, 1983.

    Google Scholar 

  13. Singer, I.M. and Thorpe, John A. Lecture Notes on Elementary Topology and Geometry. Scott, Foresman and Company, p. 97, 1967.

    Google Scholar 

  14. Wang, Z.W. An Analysis on Vector Space Model Based on Computational Geometry. M.Sc. thesis, Computer Science Department, University of Regina, Regina, Canada, 1993

    Google Scholar 

  15. Weinstock, R. Calculus of Variations, with Applications to Physics and Engineering. New York: Dover, p. 26–28 and 45–46, 1974.

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Z. W. Wang, R. B. Maguire & Y. Y. Yao

Authors
  1. Z. W. Wang
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  2. R. B. Maguire
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  3. Y. Y. Yao
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

    Hongjun Lu

  2. Department of Computer Science, Fudan University, 220 Handan Road, Shanghai, China

    Aoying Zhou

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© 2000 Springer-Verlag Berlin Heidelberg

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Wang, Z.W., Maguire, R.B., Yao, Y.Y. (2000). A Non-Euclidean Model for Web Retrieval. In: Lu, H., Zhou, A. (eds) Web-Age Information Management. WAIM 2000. Lecture Notes in Computer Science, vol 1846. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45151-X_22

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  • DOI: https://doi.org/10.1007/3-540-45151-X_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67627-0

  • Online ISBN: 978-3-540-45151-8

  • eBook Packages: Springer Book Archive

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