传统社会网络中节点和边是同质的,仅能包含社会组织的结构信息.将本体理论与社会网络分析理论相结合,使得网络的节点和边都具有特定的语义,这种网络称作语义社会网络.本文研究了运用本体描述语言OWL表示语义社会网络的方法;提出了语义社会网络中关联路径的概念和评价方法,并用于发现网络中的重要节点和重要的连接关系(包括隐含的间接关系).对一个科研合作网络实例的研究,验证了语义社会网络表示方法的有效性.应用基于关联路径的方法对科研合作网络中的重要节点和重要隐含关系进行了分析,并对分析结果进行了评价,证明基于语义的方法可以有效地发现网络中的重要关系和重要节点.%Nodes or edges in traditional social network are homogenousm, and only can be used to describe the structure information of social organization. Semantic Social Network ( SSN) , whose nodes and edges include specific semantic , is the combination of ontology theory and social network analysis theory. This paper studies the description method of SSN using ontology description language OWL, and proposes the concept of Association Path ( AP) which is also used to discover important node and implicit relationship in the network. Study of a scientific research cooperation network verifies the description method of SSN, and finds that methods based on AP can discover important relationships and nodes effectively.
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