Spinning multiple social networks for Semantic Web

Yutaka Matsuo; Masahiro Hamasaki; Yoshiyuki Nakamura; Takuichi Nishimura; Kôiti Hasida; Hideaki Takeda; Junichiro Mori; Danushka Bollegala; Mitsuru Ishizuka

Spinning multiple social networks for Semantic Web

Yutaka Matsuo^*, Masahiro Hamasaki, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideaki Takeda, Junichiro Mori, Danushka Bollegala, Mitsuru Ishizuka

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

22 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the National Conference on Artificial Intelligence
Pages	1381-1387
Number of pages	7
Volume	2
Publication status	Published - 2006
Externally published	Yes
Event	21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06 - Boston, MA Duration: 2006 Jul 16 → 2006 Jul 20

Other

Other	21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
City	Boston, MA
Period	06/7/16 → 06/7/20

ASJC Scopus subject areas

Software

Cite this

Matsuo, Y, Hamasaki, M, Nakamura, Y, Nishimura, T, Hasida, K, Takeda, H, Mori, J, Bollegala, D & Ishizuka, M 2006, Spinning multiple social networks for Semantic Web. in Proceedings of the National Conference on Artificial Intelligence. vol. 2, pp. 1381-1387, 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06, Boston, MA, 06/7/16.

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abstract = "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.",

author = "Yutaka Matsuo and Masahiro Hamasaki and Yoshiyuki Nakamura and Takuichi Nishimura and K{\^o}iti Hasida and Hideaki Takeda and Junichiro Mori and Danushka Bollegala and Mitsuru Ishizuka",

year = "2006",

language = "English",

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volume = "2",

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booktitle = "Proceedings of the National Conference on Artificial Intelligence",

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AU - Matsuo, Yutaka

AU - Hamasaki, Masahiro

AU - Nakamura, Yoshiyuki

AU - Nishimura, Takuichi

AU - Hasida, Kôiti

AU - Takeda, Hideaki

AU - Mori, Junichiro

AU - Bollegala, Danushka

AU - Ishizuka, Mitsuru

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:33750693695

SN - 1577352815

SN - 9781577352815

VL - 2

SP - 1381

EP - 1387

BT - Proceedings of the National Conference on Artificial Intelligence

T2 - 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06

Y2 - 16 July 2006 through 20 July 2006

ER -

Spinning multiple social networks for Semantic Web

Abstract

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ASJC Scopus subject areas

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