基于语义Web的关系型虚拟社区服务发现模型分析

摘要

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.%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。