基于群组角色协同服务聚合的Web服务发现  

Web Service Composition Discovery Based on Group Role Collaboration Service Aggregation

作　　者：黄黎[1] 赵璐 Huang Li;Zhao Lu(School of Information Engineering,Jiangsu Open University,Nanjing 210017,China;School of Computer Science and Technology,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]江苏开放大学信息工程学院,江苏南京210017 [2]南京邮电大学计算机学院,江苏南京210023

出　　处：《南京师大学报（自然科学版）》2024年第4期135-147,共13页Journal of Nanjing Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(62206114,62403218,62402233);江苏省教育科学规划课题(B/2023/01/50);江苏省高等教育教改课题(2023JSJG690)。

摘　　要：针对群组绩效和交互成本的双目标约束优化问题,设计了一种基于群组角色协同服务聚合的多用户Web服务发现方法.该方法定义基于社会网络分析的协作准则,考虑群组成员间的协作性能和交互成本度量,提出一种协同候选服务间的交互成本计算方法;针对群组角色分配问题,重点考虑候选任务执行者的“角色”资源,引入群组协同的语义信息来丰富服务的语义描述;通过融合结构和语义信息的层次聚类算法寻找服务候选角色,提高服务聚合的质量,解决群组绩效和交互成本的双目标约束优化问题.实验验证该方法在服务组合发现,满足服务行为兼容性和功能可靠性等方面具有较明显的优势.Towards two-objective constraint optimization problem for group performance and interaction cost,a service aggregation method based on Group Role Collaboration(GRC)is designed.Considering the collaboration performance and interaction cost among group members,an interaction cost calculation method is proposed.To resolve the problem of group role assignment,especially the “role” profile,group collaborative based semantic information is introduced to enrich the semantic description of services.A hierarchical clustering algorithm combining structure and semantic information is used to search for service candidate roles.It could improve the quality of service aggregation and resolve the dual objective constraint optimization between group performance and interaction cost.Experiments show that this method has obvious optimization effect on service aggregation in terms of satisfying service behavior compatibility and functional reliability.

关 键 词：群智协同 服务聚合 群组角色 群组绩效 服务计算 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]