社会语义网分析技术研究

为满足在线社会网络语义分析的需要,提出社会语义网络分析框架。该框架由两部分构成:一是在线社会网络的语义表示,利用RDF模型和已建立的本体描述在线社会网络,赋予社会网络丰富的语义信息;二是在线社会网络的语义分析,利用SPARQL对在线社会网络语义图进行检索过滤,获取满足语义要求的数据,在分析过程中利用属性的层次结构实现分析粒度的控制,通过属性路径检索实现整体网分析。通过应用案例,说明了所提框架的有效性。

Research on social semantic network analysis

To meet the demands of the semantic analysis for online social network, a social semantic network analysis framework is proposed. The framework includes two parts. The first part is the semantic representation of online social networks. In this part, the social network is described by RDF graph model and existing ontology so that these networks are endowed with rich semantic information. The second part is semantic analysis for online social networks. In this part, SPARQL is used for querying and filtering the semantic graph of the online social network to acquire the data which meets the semantic requirement. Moreover, the grain size of the analysis is controlled by using properties’ hierarchical structure and the analysis for the entire network is implemented by retrieving the property path. The effectiveness of the proposed framework is demonstrated by a real application case.