基于社会标签共现分析的Web资源聚合流程研究

Research on the Process of Web Resources Aggregation Based on the Co-occurrence Analysis of Social Tags

社会标签可以提供附加的语义信息来描述网络资源的内容,可以实现网络信息的有效挖掘。文章将社会标签作为Web资源描述的元数据进行共现分析,探讨社会标签共现分析在Web挖掘的应用,设计了基于社会标签共现分析的Web资源聚合流程,并以LibraryThing为例对该流程进行了实证研究。实证分析结果表明,社会标签的共现分析能够揭示Web资源对象集合中知识内容及其关所隐含的相关信息,社会标签共现分析是Web资源聚合的一种新途径。

Social tags can provide additional semantic information to describe the content of network resources to achieve the effective mining of network information. This paper puts the social tags as the metadata of Web resource description for co-occurrence analysis,explores the applications of social tags co-occurrence analysis in Web mining,designs the process of Web resources aggregation based on co-occurrence analysis of social tags,and takes the LibraryThing as an example to carry out the empirical research on the process. The results of empirical analysis show that the co-occurrence analysis of social tags can reveal the knowledge content of the collection of Web resource objects and its related implicit information,and the co-occurrence analysis of social tags is a new way of Web resources aggregation.