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International Conference on Knowledge Engineering and Knowledge Management

EKAW 2004: Engineering Knowledge in the Age of the Semantic Web pp 497–498Cite as

Ontology Enrichment Evaluation

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3257))

Abstract

Ontology enrichment algorithms propose new concepts to given concepts in a domain specific ontology. The paper is dedicated to the quality of ontology enrichment algorithms in terms of recall.

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References

  1. Aguirre, E., Lersundi, M.: Extracción de relaciones léxico-semánticas a partir de palabras derivadas usando patrones de definición. Procesamiento del Language Natural 27 (2001)

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  2. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)

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  3. Faatz, A., Steinmetz, R.: Ontology Enrichment with Texts from the WWW. In: Proceedings of the First InternationalWorkshop on SemanticWeb Mining, European Conference on Machine Learning 2002, Helsinki (2002)

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  4. Stumme, G., Mädche, A.: FCA-MERGE: Bottom-Up Merging of Ontologies. In: Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI 2001, Seattle,Washington, USA, August 4-10 (2001)

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Author information

Authors and Affiliations

  1. Darmstadt University of Technology, Darmstadt, Germany

    Andreas Faatz & Ralf Steinmetz

Authors
  1. Andreas Faatz
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  2. Ralf Steinmetz
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Editor information

Editors and Affiliations

  1. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Enrico Motta

  2. Electronics and Computer Science, University of Southampton, UK

    Nigel R Shadbolt

  3. Knowledge Media Institute, Open University, UK

    Arthur Stutt

  4. University of Southampton, SO17 1BJ, Southampton, UK

    Nick Gibbins

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Faatz, A., Steinmetz, R. (2004). Ontology Enrichment Evaluation. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_44

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  • DOI: https://doi.org/10.1007/978-3-540-30202-5_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23340-4

  • Online ISBN: 978-3-540-30202-5

  • eBook Packages: Springer Book Archive

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