Ranking and Optimising Web Services in Semantic Dimension Using PSO Algorithm
Ranking and optimization of web service compositions represent challenging areas of research with significant implications for the realization of the "Web of services" vision. "Semantic web services" use formal semantic descriptions of web service functionality and interface to enable automated reasoning over web service compositions. To address QoS-aware semantic web service composition in a context of significant scale, the authors propose a Particle Swarm Optimization (PSO)-based approach to optimizing web service compositions, which considers both the nonfunctional qualities of the composition and the quality of semantic fit. Combining both allows them to consider both the user perspective to desired qualities and the composition perspectives of costs involved in inter service alignment within the composition.