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Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases

  • Conference paper
On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE (OTM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2888))

Abstract

Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subsequently, in particular, shortly outlines the DOGMA ontology engineering approach that separates “atomic” conceptual relations from “predicative” domain rules. In the main part of the paper, we describe and experimentally evaluate work in progress on a potential method to automatically derive the atomic conceptual relations mentioned above from a corpus of English medical texts. Preliminary outcomes are presented based on the clustering of nouns and compound nouns according to co-occurrence frequencies in the subject-verb-object syntactic context.

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Author information

Authors and Affiliations

  1. CNTS, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium

    Marie-Laure Reinberger & Walter Daelemans

  2. STAR Lab, Vrije Universiteit Brussel, Pleinlaan 2 Gebouw G-10, B-1050, Brussel, Belgium

    Peter Spyns & Robert Meersman

Authors
  1. Marie-Laure Reinberger
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  2. Peter Spyns
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  3. Walter Daelemans
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  4. Robert Meersman
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Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

  3. Department of Electrical Engineering and Computer Science, Vanderbilt University, TN 37203, Nashville, USA

    Douglas C. Schmidt

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© 2003 Springer-Verlag Berlin Heidelberg

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Reinberger, ML., Spyns, P., Daelemans, W., Meersman, R. (2003). Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds) On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE. OTM 2003. Lecture Notes in Computer Science, vol 2888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39964-3_51

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  • DOI: https://doi.org/10.1007/978-3-540-39964-3_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20498-5

  • Online ISBN: 978-3-540-39964-3

  • eBook Packages: Springer Book Archive

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