KGCL: A Knowledge-Grid-Based Cooperative Learning Environment
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Semantic search of learning services in a grid-based collaborative system
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
Concurrency and Computation: Practice & Experience - Science Gateways—Common Community Interfaces to Grid Resources
Modeling Semantic Web Services: The Web Service Modeling Language
Modeling Semantic Web Services: The Web Service Modeling Language
An ontology matching approach to semantic web services discovery
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Ontology-based composition of web services for ubiquitous computing
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Towards an agent-based robust collaborative virtual environment for e-learning in the service grid
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
A survey of automated web service composition methods
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
Enhancing web services description and discovery to facilitate composition
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
An efficient algorithm for OWL-S based semantic search in UDDI
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
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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.