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Extracting Patterns and Relations from the World Wide Web

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The World Wide Web and Databases (WebDB 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1590))

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Abstract

The World Wide Web is a vast resource for information. At the same time it is extremely distributed. A particular type of data such as restaurant lists may be scattered across thousands of independent information sources in many different formats. In this paper, we consider the problem of extracting a relation for such a data type from all of these sources automatically. We present a technique which exploits the duality between sets of patterns and relations to grow the target relation starting from a small sample. To test our technique we use it to extract a relation of (author,title) pairs from the World Wide Web.

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References

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Author information

Authors and Affiliations

  1. Computer Science Department, Stanford University,  

    Sergey Brin

Authors
  1. Sergey Brin
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Editor information

Editors and Affiliations

  1. Informatica e Automazione, Università Roma Tre, Via Vasca Navale 79, 00146, Roma, Italy

    Paolo Atzeni

  2. Department of Computer Science, University of Toronto, Toronto, Canada

    Alberto Mendelzon

  3. Dipartimento di Matematica e Informatica, Università della Basilicata, Potenza, Italy

    Giansalvatore Mecca

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© 1999 Springer-Verlag Berlin Heidelberg

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Brin, S. (1999). Extracting Patterns and Relations from the World Wide Web. In: Atzeni, P., Mendelzon, A., Mecca, G. (eds) The World Wide Web and Databases. WebDB 1998. Lecture Notes in Computer Science, vol 1590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704656_11

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  • DOI: https://doi.org/10.1007/10704656_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65890-0

  • Online ISBN: 978-3-540-48909-2

  • eBook Packages: Springer Book Archive

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