Semantic web service composition using semantic similarity measures and formal concept analysis

One of the main assets of the Service Oriented Architecture (SOA) is composition, which consists in developing higher-level services by re-using well-known functionality provided by other services in a low-cost and rapid development process. In this paper, we present IDECSE a new integrated approach for composite services engineering. By considering semantic Web services, IDECSE addresses the challenge of fully automating the classification, discovery and composition while reducing development time and cost. The classification and the discovery processes rely on adequate semantic similarity measures. Both semantic and syntactic descriptions are integrated through specific techniques for computing similarity measures between services. Formal Concept Analysis (FCA) is used then to classify Web services into concept lattices in order to facilitate relevant services identification. A graph based semantic Web service composition process was proposed within the IDECSE framework. Using semantic similarities in grouping classes of services and in composing services shows a significant improvement compared to other approaches.