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Learning and interpretation of the layout of structured documents

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Book cover KI-97: Advances in Artificial Intelligence (KI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1303))

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Abstract

In this paper, a qualitative representation for the layout of structured documents is presented, which is established by the means of supervised learning from a labeled training set of documents. For this formal representation, an inference algorithm has been developed, adopted from error tolerant subgraph isomorphism, which assigns logic labels to layout objects of a test document.

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References

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Authors and Affiliations

  1. Daimler Benz Research and Technology, 89013, Ulm, Germany

    Hanno Walischewski

Authors
  1. Hanno Walischewski
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Gerhard Brewka Christopher Habel Bernhard Nebel

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© 1997 Springer-Verlag Berlin Heidelberg

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Walischewski, H. (1997). Learning and interpretation of the layout of structured documents. In: Brewka, G., Habel, C., Nebel, B. (eds) KI-97: Advances in Artificial Intelligence. KI 1997. Lecture Notes in Computer Science, vol 1303. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3540634932_39

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  • DOI: https://doi.org/10.1007/3540634932_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63493-5

  • Online ISBN: 978-3-540-69582-0

  • eBook Packages: Springer Book Archive

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