摘要
为提高服务组合的精确性和一致性,提出一种面向本体的语义服务组合评价模型,并采用面向本体的语义服务描述方法来增强服务识别定位能力。建立了一种评价模型来度量服务组合情况,以提高服务组合的鲁棒性。据此建立服务组合评价的多目标优化模型,通过多目标的改进性遗传算法求解服务组合,采用层次模糊评价体系分析各类服务组合,并选择最高的评价结果作为最终服务组合结果。最后通过应用分析表明,克服了传统服务组合的局部性、单一性和评价不对称性,使服务组合更加高效。
To improve accuracy and consistency in service composition, an evaluation model of semantics Web service composition oriented to ontology was proposed. Recognition and location capability were strengthened by using ontology-oriented semantic description method. An evaluation model was constructed to measure service composition so as to improve robustness of service composition. Multiobjective optimization model of service composition evaluation was set up. Improved multiobjective genetic algorithm was used to resolve service composition. And Analytic Hierarchy Process （AHP）-fuzzy evaluation system was adopted to analyze service composition, and the highest evaluation result was selected to be the final service composition result. Finally, application and analysis results indicated that the proposed method has overcome shortcomings such as localize, single and asymmetric evaluation of the traditional services so that service composition were even more effective.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2008年第12期2346-2353,共8页
Computer Integrated Manufacturing Systems
基金
四川省科技厅应用基础项目(2006J13-051)
四川省教育厅自然科研基金资助项目(07ZC002)~~
关键词
本体
语义
服务组合
评价模型
服务质量
多目标优化
遗传算法
ontology
semantics
service composition
evaluation model
quality of service
multiobjective optimization
genetic algorithm
