Selecting the best web service
CASCON '04 Proceedings of the 2004 conference of the Centre for Advanced Studies on Collaborative research
A multi-responsive communication architecture for web service description and discovery
Proceedings of the 6th International Conference on Semantic Systems
A qos oriented broker system for autonomic web services selection
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
A new methodology of qos evaluation and service selection for ubiquitous computing
WASA'06 Proceedings of the First international conference on Wireless Algorithms, Systems, and Applications
Adaptive service delivery for mobile users in ubiquitous computing environments
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Timelines as mediators of lifelong learning processes
Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems
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Virtual communities increasingly make use of standard Internet-enabled web services to support their collaborative activities. Such web services need to offer the right amount of functionality to meet community requirements. However, both requirements and enabling services are continuously in flux. A critical challenge therefore is that the community canefficiently ensure that web service changes are both technically feasible and socially acceptable.In this paper, we outline a selection approach for virtual communities that takes into account both the feasibility and the acceptability of web services. To this purpose, we adopt a semiotic view on the selection process, showing that for the adequate selection of web services three subprocesses are required: (1) syntactic discovery, (2) semantic matching, and (3) pragmatic interpretation. We then present a meta-model of web service selection support that is grounded in this view. This model can be used to detect gaps in web service selection support. This knowledge is essential for the construction of better selection support methodologies. We apply the meta-model to analyze a case on a courseware development community.