E-LEARNING TOOLS: CONCEPTUALISATION OF DOMAIN KNOWLEDGE FOR FUTURE USE IN E-LEARNING CONTEXT

Yıl 2015, Cilt: 2 , 210 - 214, 01.09.2015

Lina Tankelevıcıene

Öz

Semantic Web is a Web of new generation. The
main difference from the Web of the first generation is that information
presented is understandable not only for humans, but also for software agents
or other software modules. Ontologies are most often defined as basic component
in Semantic Web infrastructure.  Domain
ontologies provide shared and common understanding of a specific domain. They,
as engineering artefacts, are used in different fields, including
e-learning.  In this paper, we present
the development of domain ontology for future use in e-learning context.  Domain of “E-learning tools” was chosen for
implementation. The distance learning course “E-learning technologies” (3
credits) is elective and oriented not only for students with strong background
of information technologies. Among others, the expected ability of the study
module is formulated as follows: students will be able to analyse, compare and
in the real context to choose the most suitable tools for development of study
materials, delivering distance learning course or making other decision in
e-learning context. Our domain consists of three large parts: tools (software
products), technologies in a wider sense of this word and didactics. The
obstacle of our solution is that the domain is evolving quickly. But since we
agree that “there is no single correct ontology for any domain” (Noy, 2001), we
can freely experiment and foresee further use of developed ontology in
e-learning.

Anahtar Kelimeler

Domain ontology, ontology development, e-learning, e-learning tools

Kaynakça

• Davis, M. (2008). Semantic Wave 2008 Report — Executive Summary. Retrieved April 10, 2015, from http://www.project10x.com/. Fernandez-Lopez, M., Corcho, O., & Gomez-Perez, A. (2004). Ontological Engineering: with examples from areas of Knowledge Management, e-Commerce and the Semantic Web. Springer. Grobelnik M., & Mladenic D. (2006). Knowledge Discovery for Ontology Construction. In Davies J., Studer R., Warren P. (Eds.). Semantic Web Technologies: Trends and Research in Ontology-based Systems. John Wiley & Sons, Ltd. Guarino N. (1998). Formal Ontology and Information Systems. In. N. Guarino (ed.) Formal Ontology in Information Systems. Proceedings of FOIS’98, Italy (pp. 3-15). Amsterdam, IOS Press. Guizzardi G. (2005). Ontological Foundations for Structural Conceptual Models. PhD with Cum Laude. Telematica Instituut Fundamental Research Series, vol. 015. Enschede, the Netherlands. Kiryakov A. (2006). Ontologies for knowledge management. In: Davies J., Studer R. And Warren P. (Eds.). Semantic Web Technologies: Trends and Research in Ontology-based Systems. John Wiley & Sons, Ltd., Chichester, England. Noy N. F., McGuinness D. L. (2001), Ontology Development 101: A Guide to Creating Your First Ontology. Stanford Knowledge Systems Laboratory, Technical Report KSL-01-05. Retrieved April 10, 2015 from http://protege.stanford.edu/publications/ontology_development/ontology101.pdf. Ruiz F., Hilera J. R., 2006, Using Ontologies in Software Engineering and Technology. In Calero C., Ruiz F., Piattini M. (Eds.), Ontologies for Software Engineering and Software Technology. Berlin/Heidelberg: Springer. Uschold M., Grüninger M. (1996). Ontologies: Principles, Methods and Applications. Knowledge Engineering Review, 11(2), 93-155.