Title: Automatic composition of Learning Grid Portlets: a comparison of syntactic and semantic approaches
Authors: Gustavo Gutierrez-Carreon, Thanasis Daradoumis, Josep Jorba
Addresses: Distributed, Parallel and Collaborative Systems Research Group, Open University of Catalonia, Barcelona, Spain. ' Distributed, Parallel and Collaborative Systems Research Group, Open University of Catalonia, Barcelona, Spain. ' Distributed, Parallel and Collaborative Systems Research Group, Open University of Catalonia, Barcelona, Spain
Abstract: Due to their potential advantages, the use of Grid technologies towards the development of collaborative and personalised learning frameworks has been considerably increased. These learning frameworks can be constructed based on distributed learning services and resources. A problem still unsolved is how to use and integrate low-level learning services to compose more complex high-level learning services or tools. In that sense, on the one hand, Business Process Execution Language (BPEL) is an orchestration language that, based on a syntactic representation of the characteristics of a learning service, can carry out the composition of a new learning service; on the other hand, Web Service Modeling Ontology (WSMO) is a language that can be used to represent the functional characteristics of a learning service semantically. This paper presents the benefits and limitations of the processes of composing learning portals based on Grid learning services using BPEL and WSMO.
Keywords: learning grid; semantic web; learning services; grid computing; collaborative learning; personalised learning; business process execution language; BPEL; web service modelling ontology; WSMO; learning portals; web services.
International Journal of Grid and Utility Computing, 2009 Vol.1 No.4, pp.308 - 315
Published online: 18 Aug 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article