Abstract: According to the web information resource distributing features and the requirements semantic-based searching, a semantic recommendation model of information resource by use of publishing/subscribing technologies was presented. The resource is published to the distributing model system by way of message and the users' personalized requests are stored in local inquiring by ways of subscription. The system gives an approach to realize the information services change from users' searching information to server's recommending personalized content, which implements content-based information matching by use of semantic technology. The model system is more efficient deployed than other existing searching educational resource based on web page. Experimental results show that the distributing model system performs better than existent web page recommendation methods in the traditional web page.

Key words: Publish and subscribe, Distributing information resource, Semantic recommendation, Content matching

摘要： 针对现有网络信息资源分布式特征和语义搜索的要求，提出一种应用发布/订阅技术实现信息资源语义推荐模型。资源以消息方式发布到分布式模型系统中，用户的个性化要求通过订阅方式存储在查询本地，实现将用户被动搜索信息变为系统主动推荐个性化的信息服务的转变，同时应用语义Web技术实现基于内容的信息匹配。该系统模型改变了现有基于网页搜索信息资源的方式，更易于部署，实验结果表明,该模型比传统的网页推荐模型信息匹配准确率更高。

关键词: 发布订阅, 分布式信息资源, 语义推荐, 内容匹配