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Motivated from the Context Aware Computing, and more particularly from theData-Driven Process Adaptation approach, we propose the Semantic Context Space(SCS) Engine which aims to facilitate the provision of adaptable businessprocesses. The SCS Engine provides a space which stores semantically annotateddata and it is open to other processes, systems, and external sources forinformation exchange. The specified implementation is inspired from theSemantic TupleSpace and uses the JavaSpace Service of the Jini Framework(changed to Apache River lately) as an underlying basis. The SCS Enginesupplies an interface where a client can execute the following operations: (i)write: which inserts in the space available information along with itsrespective meta-information, (ii) read: which retrieves from the spaceinformation which meets specific meta-information constrains, and (iii) take:which retrieves and simultaneously deletes from the space information whichmeets specific meta-information constrains. In terms of this thesis theavailable types of meta-information are based on ontologies described in RDFSor WSML. The applicability of the SCS Engine implementation in the context ofdata-driven process adaptation has been ensured by an experimental evaluationof the provided operations. Ultimately, we refer to open issues which could beaddressed to enrich the proposed Engine with additional features.

Sharing of Semantically Enhanced Information for the Adaptive Execution of Business Processes