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Intelligent text analysis for dynamically maintaining and updating domain knowledge bases

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Advances in Intelligent Data Analysis Reasoning about Data (IDA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1280))

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Abstract

We propose a knowledge-intensive text analysis approach which deals with the continuous assimilation of new concepts into domain knowledge bases. Text understanding and knowledge acquisition proceed in tandem on the basis of terminological reasoning. Concept learning is considered an evidence-based choice problem the solution of which balances the “quality” of various clues from the linguistic structure of the texts and conceptual structures in the knowledge bases.

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Authors and Affiliations

  1. Computational Linguistics Lab - Text Knowledge Engineering Group, Freiburg University, Werthmannplatz, D-79085, Freiburg, Germany

    Klemens Schnattinger & Udo Hahn

Authors
  1. Klemens Schnattinger
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  2. Udo Hahn
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Editor information

Xiaohui Liu Paul Cohen Michael Berthold

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© 1997 Springer-Verlag

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Schnattinger, K., Hahn, U. (1997). Intelligent text analysis for dynamically maintaining and updating domain knowledge bases. In: Liu, X., Cohen, P., Berthold, M. (eds) Advances in Intelligent Data Analysis Reasoning about Data. IDA 1997. Lecture Notes in Computer Science, vol 1280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0052858

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  • DOI: https://doi.org/10.1007/BFb0052858

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63346-4

  • Online ISBN: 978-3-540-69520-2

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