An intelligent algorithm for automatic candidate selection for web service composition

Abstract

Web services have become an important enabling paradigm for distributed computing. Some deterrents to the continued popularity of the web service technology currently are the nonavailability of large-scale, semantically enhanced service descriptions and limited use of semantics in service life cycle tasks like discovery, selection, and composition. In this paper, we outline an intelligent semantics-based web service discovery and selection technique that uses interfaces and text description of services to capture their functional semantics. We also propose a service composition mechanism that automatically performs candidate selection using the service functional semantics, when one web service does not suffice. These techniques can aid application designers in the process of service-based application development that uses multiple web services for its intended functionality. We present experimental and theoretical evaluation of the proposed method. � Springer Nature Singapore Pte Ltd. 2018.