Using context to enable semantic mediation in web service communities

Abstract

The use of communities provides a scalable solution for gathering and managing functionally-equivalent Web services. In order to ensure single access to the community, a community uses a common interface that acts as a proxy and selects other Web services in the community. However, Web services adopt different semantics for representing the data they receive and send. These semantics must be adapted to conforming to the community semantics. In this paper, we present a solution to this problem. Our solution is based on the use of context in order to explicitly describe semantic discrepancies within a community. We rely on a semantic annotation of WSDL descriptions to describe the semantics attached to Web services, and we provide mediation mechanisms at the community level to handle semantic heterogeneities between Web services and the community. We validate our solution through implementation and experimentation over a test community and show the limitations of our approach.

An architectural specification for a system to adapt to learning patterns

“…CLAP federates learning contributors based on a semantic Web architecture for learning (Wang and Chen 2008;Mrissa et al 2008), where CLAP plays a middleware role to facilitate the integration of learning modules. Learning provision entities could be agglomerated into communities (Mrissa et al 2008) or factories, each of which provides similar service-functionalities but with different non-functional parameters. The design factory module shown in Fig.…”