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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2001: Engineering of Intelligent Systems pp 165–174Cite as

Information Extraction from HTML: Combining XML and Standard Techniques for IE from the Web

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

Abstract

This paper describes Information Extraction for applications concerning the automated filling of templates from an input of HTML documents. We developed a complete system to extract information from Web sites. The system is able to use a number of algorithms to learn the document structure, rules and keywords to locate specific information and spatial relations between different information items. Experiments with well known data set show a substantial performance improvement over standard wrapper systems.

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References

  1. Relational Learning of Pattern-Match Rules for Information Extraction, M E Califf and R J Mooney, Proceedings ACL-97: Workshop on Natural Language Learning, 1997

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  3. Information Extraction a User Guide, H Cunningham, CS-99-07, 1999

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  7. STALKER: Learning Extraction Rules for Semistructured, Web-based Information Sources-Muslea I, Minton S, AAAI’98 Workshop “AI and Information Integration”

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  8. Information Extraction as a Basis for High-Precision Text Classification, E Riloff and W Lehnert, ACM Transactions on Information Systems vol. 12 no. 3 1994.

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  9. Learning Information Extraction Rules for Semi-Structured and Free Text, S Sonderland, Machine Learning 34, 233–272, 1999

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Author information

Authors and Affiliations

  1. Interprice Technologies GmbH, Berlin, Germany

    Luo Xiao & Dieter Wissmann

  2. Dept. of Computer Sciences VI (IMMD VI), University of Erlangen-Nuremberg, Germany

    Michael Brown

  3. Siemens AG, CT SE 5, Erlangen, Germany

    Stefan Jablonski

Authors
  1. Luo Xiao
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  2. Dieter Wissmann
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  3. Michael Brown
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  4. Stefan Jablonski
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Xiao, L., Wissmann, D., Brown, M., Jablonski, S. (2001). Information Extraction from HTML: Combining XML and Standard Techniques for IE from the Web. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_20

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  • DOI: https://doi.org/10.1007/3-540-45517-5_20

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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