A Hybrid Approach to Ontology Relationship Learning

  • Jon Atle Gulla
  • Terje Brasethvik
Conference paper

DOI: 10.1007/978-3-540-69858-6_9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5039)
Cite this paper as:
Gulla J.A., Brasethvik T. (2008) A Hybrid Approach to Ontology Relationship Learning. In: Kapetanios E., Sugumaran V., Spiliopoulou M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg

Abstract

Most ontology learning tools concentrate on extracting concepts and instances from text corpora. There are some recent tools that employ linguistics or data mining to uncover concept relationships, but the results are mixed. Since relationships are semantically complex notions, it seems interesting to combine approaches that address different aspects of concept relationships. In this paper we present a hybrid approach that combines the co-occurrence principle from association rules with contextual similarities from linguistics. The technique has been tested in an ontology engineering project, and the results show significant improvements over traditional techniques.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Jon Atle Gulla
    • 1
  • Terje Brasethvik
    • 1
  1. 1.Department of Computer and Information SciencesNorwegian University of Science and TechnologyTrondheim 

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