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论文类型：期刊论文

发表时间：2012-10-01

发表刊物：Journal of Computational Information Systems

收录刊物：EI、Scopus

卷号：8

期号：19

页面范围：8083-8093

ISSN号：15539105

摘要：With the popularity of social tagging systems, research on folksonomy has attracted vast attention. Tag semantic ambiguity problem in folksonomy is one of the bottlenecks of the social tagging systems. Till now, most researchers try to identify the meaning of tags with the explicit or implicit precondition that each tag has only one meaning. Clearly, such methods can hardly avoid semantic information loss. In this paper, a novel tag semantic analysis paradigm by utilizing non-exclusive complex network clustering algorithm is proposed to tackle the tag semantic ambiguity problem with less semantic information loss. With the discussion of the presented experiment, the effectiveness of the method was verified. ? 2012 Binary Information Press.