Context Driven Mediation Service in Data-as-a-Service Composition

Data as a Service (DaaS) builds on service-oriented technologies to enable fast access to data resources on the Web. Many approaches are proposed to achieve the DaaS composition task which is reduced to query rewriting problem. In this context, DaaS is described as Parametrized-RDF View (PRV ) over Domain Ontology (DO). However, the DO is unable to capture the different perspectives or viewpoints for the same domain knowledge. This limitation raises semantic conflicts between pieces of data exchanged during the DaaS composition process. To face this issue, we present a context-driven approach that aims at supporting semantic mediation between composed DaaSs. The semantic reconciliation based on mediation service is performed through the execution of rule mapping which achieves the transformation between contexts.