基于语义Web的关系型虚拟社区服务发现模型分析  

Service Discovery Model of Relational Virtual Community Based on Semantic Web

作　　者：孙玲芳[1] 王成文[2] 徐会[2] 

机构地区：[1]泰州学院商学院,江苏泰州225300 [2]江苏科技大学经济管理学院,江苏镇江212003

出　　处：《华东交通大学学报》2014年第2期105-111,共7页Journal of East China Jiaotong University

基　　金：教育部人文社科基金项目(10YJAZH069);江苏省"六大人才高峰"高层次人才基金项目(XXRJ-013)

摘　　要：近几年来关系型虚拟社区服务创新滞后,没能紧随网络用户偏好,发展势头由强转弱。在前人关于服务发现和语义Web应用研究的基础上,构建关系型社区服务发现模型。通过会员信息和第三方服务数据的语义本体化、推理匹配来进行模型仿真,实现了服务集与会员的快速、准确关联,为进行针对关系型社区服务开发和内容创新做准备。In recent years, relational virtual community has been lagged in service innovation, and has lost in keep-ing pace with network users’preferences, which results in the weakening development momentum. This paper based on previous scholars’study about service discovery and semantic web application, proposes the service dis-covery model for relational community. And it makes the model simulation by the semantization of member infor-mation and the third-party service data, thus establishing rapid and accurate associations between service set and members and providing preparations for the development and content innovation of relational community service.

关 键 词：关系型虚拟社区 会员兴趣 服务发现模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]