Social networks are important for the Semantic Web. Several means can be used to obtain social networks: using social networking services, aggregating Friend-of-a-Friend (FOAF) documents, mining text information on the Web or in e-mail messages, and observing face-to-face communication using sensors. Integrating multiple social networks is a key issue for further utilization of social networks in the Semantic Web. This paper describes our attempt to extract, analyze and integrate multiple social networks from the same community: user-registered knows networks, web-mined collaborator networks, and face-to-face meets networks. We operated a social network-based community support system called Polyphonet at the 17th, 18th and 19th Annual Conferences of the Japan Society of Artificial Intelligence (JSAI2003, JSAI2004, and JSAI2005) and at The International Conference on Ubiquitous Computing (UbiComp 2005). Multiple social networks were obtained and analyzed. We discuss the integration of multiple networks based on the analyses.
|ホスト出版物のタイトル||Proceedings of the National Conference on Artificial Intelligence|
|出版ステータス||Published - 2006|
|イベント||21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06 - Boston, MA|
継続期間: 2006 7月 16 → 2006 7月 20
|Other||21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06|
|Period||06/7/16 → 06/7/20|
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