• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (1): 88-93.

• 论文 • Previous Articles     Next Articles

Research on social semantic network analysis

CAI Guoyong,LIN Hang   

  1. (School of Computer Science and  Engineering,
    Guilin University of Electronic Technology,Guilin 541004,China)
  • Received:2012-02-13 Revised:2012-05-27 Online:2013-01-25 Published:2013-01-25

Abstract:

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.

Key words: online social network;semantic web technology;social network analysis