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Ontology Agents and Their Applications in the Web-Based Education Systems: Towards an Adaptive and Intelligent Service

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Intelligent Agents in the Evolution of Web and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 167))

Abstract

The ontology agent (OA) has become a necessary approach to enable and manage the acquisition, query and reuse of knowledge in distributed artificial intelligence (DAI) approaches and applications, such as Multi-agent Systems (MAS) and Web-based Education Systems (WBES) respectively. In this chapter, the aim is to point the reader at what I perceive to be the main theoretical and methodological issues regarding definition, design and implementation of an OA. Hence, the underlying concepts about agents, ontologies, OA and WBES are stated firstly. Afterwards, some agents and ontologies applications in the WBES arena are introduced. Next, the formal model for agents and ontologies is set. Also, a method for building agents and ontologies is outlined. With this baseline, the development of an OA for delivering adaptive and intelligent teaching-learning experiences through a WBES is shown. Based on the trial’s outcome of the approach, it is concluded that a WBES is able to improve the apprenticeship of students. This chapter ends with a resume of the content, a discussion about the usefulness of the OA on a WBES, and a declaration of further work to be done in order to encourage research in this field.

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Authors and Affiliations

  1. WOLNM, UPIICSA-IPN, ESIME-Z-IPN, 31 Julio 1859 # 1099B Leyes Reforma, DF 09310, Mexico

    Alejandro Peña Ayala

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  1. Alejandro Peña Ayala
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  1. Wroclaw University of Technolgy, Poland

    Ngoc Thanh Nguyen

  2. University of South Australia, Australia

    Lakhmi C. Jain

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Ayala, A.P. (2009). Ontology Agents and Their Applications in the Web-Based Education Systems: Towards an Adaptive and Intelligent Service. In: Nguyen, N.T., Jain, L.C. (eds) Intelligent Agents in the Evolution of Web and Applications. Studies in Computational Intelligence, vol 167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88071-4_11

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  • DOI: https://doi.org/10.1007/978-3-540-88071-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88070-7

  • Online ISBN: 978-3-540-88071-4

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