摘要
在网格中要实现更加准确有效的服务发现、查询及其动态分配和替换,需要在语法匹配的基础上进一步实现语义匹配.介绍了在图像处理网格平台上开发的、基于语义的信息服务组件;描述了该组件的设计框架结构,并给出该组件的核心算法即网格服务语义匹配算法的描述.该组件能有效实现对图像处理网格服务的语义查询和工作流构建时的自动语义匹配以及工作流执行中网格服务的动态分配和替换.与传统语义服务匹配算法相比,所提出的网格服务匹配算法显著提高了网格服务的匹配准确度.
For better efficiency and accuracy, it needs semantic match between grid services to implement the service discovery, the service query, and the dynamic allocation and replacement of service. An ontology-based semantic service component of the Image Processing Grid Platform is introduced in this paper. The framework of this component is firstly described and the core semantic match algorithm is given subsequently. The semantic service component implements the semantic query of grid service, the automatic semantic match for workflow construction, as well as the dynamic allocation and replacement of grid service when workflow is running. Finally, the experimental results show that the proposed algorithm has better accuracy than the classical semantic match algorithm for the grid service matching.
出处
《计算机研究与发展》
EI
CSCD
北大核心
2006年第5期821-827,共7页
Journal of Computer Research and Development
基金
教育部"十五"211工程公共服务体系建设基金项目(CG2003-GA001)~~
关键词
网格
语义网
本体
工作流
网格服务
语义匹配
grid
semantic Web
ontology
workflow
grid service
semantic match