Semantic web service adaptation model for a pervasive learning scenario
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 workpl...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2864/ |
| _version_ | 1848790170435846144 |
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| author | Lau, B-Y-S. Pham-Nguyen, C. Lee, C-S. Garlatti, S. |
| author_facet | Lau, B-Y-S. Pham-Nguyen, C. Lee, C-S. Garlatti, S. |
| author_sort | Lau, B-Y-S. |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:08:21Z |
| format | Conference or Workshop Item |
| id | mmu-2864 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:21Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-28642011-09-21T07:34:18Z http://shdl.mmu.edu.my/2864/ Semantic web service adaptation model for a pervasive learning scenario Lau, B-Y-S. Pham-Nguyen, C. Lee, C-S. Garlatti, S. T Technology (General) QA75.5-76.95 Electronic computers. Computer science 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. 2008-07 Conference or Workshop Item NonPeerReviewed 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. http://dx.doi.org/10.1109/CITISIA.2008.4607342 doi:10.1109/CITISIA.2008.4607342 doi:10.1109/CITISIA.2008.4607342 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Lau, B-Y-S. Pham-Nguyen, C. Lee, C-S. Garlatti, S. Semantic web service adaptation model for a pervasive learning scenario |
| title | Semantic web service adaptation model for a pervasive learning scenario |
| title_full | Semantic web service adaptation model for a pervasive learning scenario |
| title_fullStr | Semantic web service adaptation model for a pervasive learning scenario |
| title_full_unstemmed | Semantic web service adaptation model for a pervasive learning scenario |
| title_short | Semantic web service adaptation model for a pervasive learning scenario |
| title_sort | semantic web service adaptation model for a pervasive learning scenario |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2864/ http://shdl.mmu.edu.my/2864/ http://shdl.mmu.edu.my/2864/ |