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Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web

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Book cover Methodologies for Knowledge Discovery and Data Mining (PAKDD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1574))

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Abstract

There is a wealth of information to be mined from the World Wide Web. Unfortunately, standard natural language processing (NLP) extraction techniques perform poorly on the choppy, semi-structured information fragments, such as sports results, which are popular to be published on the Web pages nowadays.In this paper,we present an information agent: SportsFinder, an agent to ext act sports scores from the World Wide Web, as well as the knowledge discovering method to learn new express patterns to improve the agent’s performance.

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References

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Author information

Authors and Affiliations

  1. Intelligent Agent Laboratory Department of Computer Science and Software Engineering, University of Melbourne, Parkville, Vic, 3052, Australia

    Hongen Lu, Leon Sterling & Alex Wyatt

Authors
  1. Hongen Lu
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  2. Leon Sterling
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  3. Alex Wyatt
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Systems Engineering, Yamaguchi University, Tokiwa-Dai, 2557, Ube, 755, Japan

    Ning Zhong

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Lizhu Zhou

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© 1999 Springer-Verlag Berlin Heidelberg

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Lu, H., Sterling, L., Wyatt, A. (1999). Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web. In: Zhong, N., Zhou, L. (eds) Methodologies for Knowledge Discovery and Data Mining. PAKDD 1999. Lecture Notes in Computer Science(), vol 1574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48912-6_62

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  • DOI: https://doi.org/10.1007/3-540-48912-6_62

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65866-5

  • Online ISBN: 978-3-540-48912-2

  • eBook Packages: Springer Book Archive

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