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Ontology Learning

  • Chapter
Handbook on Ontologies

Part of the book series: International Handbooks on Information Systems ((INFOSYS))

Summary

Ontology Learning greatly facilitates the construction of ontologies by the ontology engineer. The notion of ontology learning that we propose here includes a number of complementary disciplines that feed on different types of unstructured and semi-structured data in order to support a semi-automatic, cooperative ontology engineering process. Our ontology learning framework proceeds through ontology import, extraction, pruning, and refinement, giving the ontology engineer a wealth of coordinated tools for ontology modelling. Besides of the general architecture, we show in this paper some exemplary techniques in the ontology learning cycle that we have implemented in our ontology learning environment, KAON Text-To-Onto.

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Author information

Authors and Affiliations

  1. FZI Research Center for Information Technologies, University of Karlsruhe, Germany

    Alexander Maedche

  2. Institute AIFB, University of Karlsruhe, Germany

    Steffen Staab

Authors
  1. Alexander Maedche
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  2. Steffen Staab
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Editor information

Editors and Affiliations

  1. Institute AIFB, University of Karlsruhe, Kaiserstraße 12, 76131, Karlsruhe, Germany

    Steffen Staab  & Rudi Studer  & 

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© 2004 Springer-Verlag Berlin Heidelberg

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Maedche, A., Staab, S. (2004). Ontology Learning. In: Staab, S., Studer, R. (eds) Handbook on Ontologies. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24750-0_9

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  • DOI: https://doi.org/10.1007/978-3-540-24750-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-11957-0

  • Online ISBN: 978-3-540-24750-0

  • eBook Packages: Springer Book Archive

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