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ONTOLOGY LEARNING USING WORDNET LEXICON

  • H. Hu
  • X.Y. Du
  • D.Y. Liu
  • J.H. Ouyang

Abstract

Current Semantic Web community has popularized ontology research. However, ontology building by hand has proven to be a very hard and error-prone task and become the bottleneck of ontology acquiring process. WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics. The paper proposes an ontology learning approach, which uses WordNet lexicon resources to build a standard OWL ontology model. The approach will help the automation of ontology building and be very useful in ontology-based applications.

Keywords

Description Logic Ontology Learning Ontology Reasoning Ontology Research Electronic Lexical Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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REFERENCES

  1. 1.
    T.B. Lee, J. Hendler and O. Lasilla (2001), The Semantic Web. The Scientific American, 284, 5, pp. 34–43.Google Scholar
  2. 2.
    T.R. Gruber (1995), Toward principles for the design of ontologies used for knowledge sharing, International Journal of Human and Computer Studies, 43, 5/6, pp. 907–928.CrossRefGoogle Scholar
  3. 3.
    W3C (2003), “OWL Web Ontology Language Overview”, http://Web.w3.org/TR/owl-features/.Google Scholar
  4. 4.
    G. Miller (1990), WordNet: An on-line Lexical data-base. International Journal of Lexicography, 3, 4, pp. 235–312.CrossRefGoogle Scholar
  5. 5.
    N. Calzolari, A. Zampolli and A. Lenci (2002), Towards a Standard for a Multilingual Lexical Entry: The EAGLES/ISLE Initiative, LNCS 2276, Springer, pp. 264–279.Google Scholar
  6. 6.
    I. Horrocks and U. Sattler (2001), Ontology Reasoning in the SHOQ(D) Description Logic, Proceedings of the seventeenth International Joint Cenference on Artificial Intelligence, pp. 199–204.Google Scholar
  7. 7.
    P. Martin (2003), Correction and extension of wordNet 1.7, 11th International Conference on Conceptual Structure (ICCS), LNAI 2746, pp. 160–173.Google Scholar
  8. 8.
    G. Aldo, N. Roberto and V. Paola (2003), The Onto WordNet project. Extension and axiomatization of conceptual relation in WordNet, LNCS 2888, pp. 820–838.Google Scholar

Copyright information

© Springer 2006

Authors and Affiliations

  • H. Hu
    • 1
    • 2
  • X.Y. Du
    • 1
  • D.Y. Liu
    • 2
  • J.H. Ouyang
    • 2
  1. 1.School of InformationRenmin University of ChinaBeijingChina
  2. 2.Open Symbol Computation and Knowledge Engineering Laboratory of State Education Committee, College of Computer Science and TechnologyJilin UniversityChangchunChina

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