Approach Considering Collective Intelligence for Interactive Web Services Composition

Abstract

Service-oriented computing (SOC) is a new computing paradigm that creates new semantic Web services composition. Moreover, some current interactive (WS) composition approaches have produced multiple aspects of interactivity and collaborative processes with a growing interest in collective intelligence and collaborative procedures to improve and enrich ontological knowledge. Several researchers have attempted to benefit from Web information to improve discovery, selection, and Web services composition. The emergence of the social networking paradigm and the lack of research works dealing with the importance of social networking in knowledge building have led us to think about how to exploit in an enrichment and construction ontology. In this paper, we present a novel ontology with high precision, based on the information existing on social networking sites. We propose an approach that consists of an interactive WS composition relying on an ontology constructed by mining social networking sites (Twitter and Facebook). Our approach is composed of the following three steps: First, information is extracted from social networking sites. Second, a new ontology is built on the basis of the extracted facts. Finally, a semantic WS composition is executed by providing the benefits of the constructed ontology. To validate the proposed approach, we present a method of constructing the proposed ontology and show how it can be utilized for semantic Web services composition. We also demonstrate that the constructed ontology positively affects the process.