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Quality-based terminological reasoning for concept learning

  • Logic and Reasoning
  • Conference paper
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KI-95: Advances in Artificial Intelligence (KI 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 981))

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Abstract

We introduce a qualitative methodology for concept learning from texts that relies upon second-order reasoning about statements expressed in a (first-order) terminological representation language. This meta-reasoning approach allows for quality-based evaluation and selection among alternative concept hypotheses.

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Author information

Authors and Affiliations

  1. AG Linguistische Informatik/Computerlinguistik (CLIF), Universität Freiburg, Europaplatz 1, D-79085, Freiburg i. Brsg.

    Klemens Schnattinger, Udo Hahn & Manfred Klenner

Authors
  1. Klemens Schnattinger
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  2. Udo Hahn
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  3. Manfred Klenner
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Editor information

Ipke Wachsmuth Claus-Rainer Rollinger Wilfried Brauer

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© 1995 Springer-Verlag Berlin Heidelberg

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Schnattinger, K., Hahn, U., Klenner, M. (1995). Quality-based terminological reasoning for concept learning. In: Wachsmuth, I., Rollinger, CR., Brauer, W. (eds) KI-95: Advances in Artificial Intelligence. KI 1995. Lecture Notes in Computer Science, vol 981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60343-3_30

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  • DOI: https://doi.org/10.1007/3-540-60343-3_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60343-6

  • Online ISBN: 978-3-540-44944-7

  • eBook Packages: Springer Book Archive

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