Social relation extraction based on chinese wikipedia articles
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
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This paper proposes a method to build and analyze social networks of person entities on Wikipedia. Here each person entity is represented by a few attributes. Different estimation approaches of attribute similarity are used, on which we employ the Systematic Similarity Measure theory to compute the person entity similarity. On the basis of the similarity array of person entities, we build the social network for them. On Wikipedia data, we conduct some experiments on social network analysis, and the experimental results show our social network mining approaches are effective.