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A Survey of Domain Ontology Engineering: Methods and Tools

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Advances in Intelligent Tutoring Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 308))

Abstract

With the advent of the Semantic Web, the field of domain ontology engineering has gained more and more importance. This innovative field may have a big impact on computer-based education and will certainly contribute to its development. This chapter presents a survey on domain ontology engineering and especially domain ontology learning. The chapter focuses particularly on automatic methods for ontology learning. It summarizes the state of the art in natural language processing techniques and statistical and machine learning techniques for ontology extraction. It also explains how intelligent tutoring systems may benefit from this engineering and talks about the challenges that face the field.

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Authors and Affiliations

  1. Simon Fraser University Surrey, 13450 102 Ave., Surrey, BC, V3T 5X3, Canada

    Amal Zouaq

  2. University of Québec at Montréal, 201 Du Président-Kennedy Avenue, PK 4150, Montréal, QC, H2X 3Y7, Canada

    Roger Nkambou

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  1. Amal Zouaq
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Editors and Affiliations

  1. University of Quebec, Montreal, Canada

    Roger Nkambou

  2. Télé-université, UQAM, Montreal, Canada

    Jacqueline Bourdeau

  3. Osaka University, Osaka, Japan

    Riichiro Mizoguchi

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Zouaq, A., Nkambou, R. (2010). A Survey of Domain Ontology Engineering: Methods and Tools. In: Nkambou, R., Bourdeau, J., Mizoguchi, R. (eds) Advances in Intelligent Tutoring Systems. Studies in Computational Intelligence, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14363-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-14363-2_6

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