Extensible soft semantic web services agent

Abstract

Web services technology is critical for the success of business integration and other application fields such as bioinformatics. However, there are two challenges facing the practicality of Web services: (a) efficient location of the Web service registries that contain the requested Web services and (b) efficient retrieval of the requested services from these registries with high quality of service (QoS). The main reason for this problem is that current Web services technology is not semantic-oriented. Several proposals have been made to add semantics to Web services to facilitate discovery and composition of relevant Web services. Such proposals are being referred to as semantic Web services (SWS). However, most of these proposals do not address the second problem of retrieval of web services with high QoS. In this paper, we propose a framework called soft semantic Web services agent (soft SWS agent) for providing high QoS Semantic Web services using soft computing methodology. Since different application domains have different requirement for QoS, it is impractical to use classical mathematical modeling methods to evaluate the QoS of semantic Web services. We use fuzzy neural networks with Genetic Algorithms (GA) as our study case. Simulation results show that the soft computing methodology is practicable to handle fuzzy and uncertain QoS metrics effectively.

Advances on QoS‐aware web service selection and composition with nature‐inspired computing

“…Fuzzy neural network with GA [136] is proposed with a four‐layered fuzzy neural network framework for semantic web services. Input nodes represent input linguistic variables in layer one.…”

A neural network-based multi-agent classifier system with a Bayesian formalism for trust measurement

“…Each agent also represents a candidate solution of the optimisation problem, and tries to improve the overall result by cooperating with other agent entities (Barkat Ullah et al 2009). In web services, MASs are used to ensure high quality of service (QoS) (Wang et al 2006). A semantic web service agent is used to provide high QoS based on the soft computing methodology.…”

Agents and OWL-S Based Semantic Web Service Discovery With User Preference Support

“…Web service discovery is a process of discovering service that most suitable to service consumer request according to consumer requirement. There are two challenges facing the practicality of Web services discovery [5]: (a) efficient location of the Web service registries that contain the requested Web services and (b) efficient retrieval of the best requested services from these registries.…”