Semantic web service adaptation model for a pervasive learning scenario


Lau, B-Y-S. and Pham-Nguyen, C. and Lee, C-S. and Garlatti, S. (2008) Semantic web service adaptation model for a pervasive learning scenario. In: 2nd IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, 12-13 JUL 2008, Cyberjaya, MALAYSIA.

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With the proliferation of mobile devices, pervasive learning has become a new wave in technology-enhanced learning (TEL). One of the key problems to solve in this area is to adapt learning content and services according to a learner's needs and wants to different learning contexts at the workplace. We propose using semantic web services as a solution to context -adaptive pervasive learning. Another problem lies in web service search, which may return many services that do not match the requirements and context of a learner. This wastes resources and poses more problems to the formulation of just-in-time learning activities. In this paper, we define a service requirement specification to model a service request and a semantic description metadata schema to sufficiently annotate web service functionalities and behavior. On top of that, we propose an adaptation model to match and adapt relevant web services. The technique and algorithm presented in this paper are aimed at improving the efficiency and accuracy in selecting the right web service for a scenario at the workplace.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 21 Sep 2011 07:34
Last Modified: 21 Sep 2011 07:34


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