POLYPHONET: an advanced social network extraction system from the web

Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. We propose a social network extraction system called POLYPHONET, which employs several advanced techniques to extract relations of persons, detect groups of persons, and obtain keywords for a person. Search engines, especially Google, are used to measure co-occurrence of information and obtain Web documents. Several studies have used search engines to extract social networks from the Web, but our research advances the following points: First, we reduce the related methods into simple pseudocodes using Google so that we can build up integrated systems. Second, we develop several new algorithms for social networking mining such as those to classify relations into categories, to make extraction scalable, and to obtain and utilize person-to-word relations. Third, every module is implemented in POLYPHONET, which has been used at four academic conferences, ...

• Type: Conference
• Year: 2006
• Where: WWW
• Authors: Hideaki Takeda, Junichiro Mori, Kôiti Hasida, Keisuke Ishida, Masahiro Hamasaki, Mitsuru Ishizuka, Takuichi Nishimura, Yutaka Matsuo
• Keywords: Internet Technology, Keywords Social Network, Social Network Extraction, Social Network Mining, WWW 2006