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IJCAI
2007

Extracting Keyphrases to Represent Relations in Social Networks from Web

8 years 7 months ago
Extracting Keyphrases to Represent Relations in Social Networks from Web
Social networks have recently garnered considerable interest. With the intention of utilizing social networks for the Semantic Web, several studies have examined automatic extraction of social networks. However, most methods have addressed extraction of the strength of relations. Our goal is extracting the underlying relations between entities that are embedded in social networks. To this end, we propose a method that automatically extracts labels that describe relations among entities. Fundamentally, the method clusters similar entity pairs according to their collective contexts in Web documents. The descriptive labels for relations are obtained from results of clustering. The proposed method is entirely unsupervised and is easily incorporated with existing social network extraction methods. Our experiments conducted on entities in researcher social networks and political social networks achieved clustering with high precision and recall. The results showed that our method is able to...
Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where IJCAI
Authors Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo
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