Domain-Adaptive Service Evaluation Model
Yang Wen · Chinese Journal of Computers · 2005
The accuracy of service quality evaluation is the key to selecting Web service from many available ones which provide overlapping or identical functionality, but current Web service evaluation models evaluate it only by common service attributes, which can not meet the requirement from Web service requestors. This paper presents a new Web service evaluation model described by Semantic language, which supports to customize evaluation attributes dynamically. It computes the weight of each evaluation attribute by utilizing both the machine learning algorithm on the knowledge generated from Web service runtime environment and active algorithm on transcendent knowledge from domain experts. The evaluation of relative experiments shows this model gets more accurate evaluation results in comparison with others. This model can be used in Web service management system, Web service selection engine and Web services composition engine.