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Issue No.01 - January-March (2008 vol.15)
pp: 78-84
SmallBlue finds experts, communities, and personal networks in large organizations through data mining, information retrieval, and artificial intelligence. By analyzing data from communication sources (emails, instant messages, and calendars) and Web 2.0 sources (blogs, wikis, social bookmarking systems, online profiles, and so on), the system answers questions about who knows what and who knows whom. SmallBlue-like services and system should continue attracting both researchers and industry developers to exploit the potential value in business intelligence.
expertise search, social networks, business intelligence
Kate Ehrlich, Vicky Griffiths-Fisher, Ching-Yung Lin, "SmallBlue: People Mining for Expertise Search", IEEE MultiMedia, vol.15, no. 1, pp. 78-84, January-March 2008, doi:10.1109/MMUL.2008.17
1. IBM Global Business Services, Global CEO Study 2006, 2006,
2. Gartner, The Knowledge Worker Investment Paradox, July 2002.
3. H. Raider and D. Krackhardt, "Intraorganizational Networks," Companion to Organizations, J. Baum ed. Blackwell, pp. 58-74.
4. X. Song, X et al., , "ExpertiseNet: Relational and Evolutionary Expert Modeling," Intl. Conf. User Modeling, Springer, 2005, pp. 24-30.
5. X. Song et al., "Modeling and Predicting Personal Information Dissemination Behavior," Proc. 11th ACM SIGKDD Int'l Conf. Knowledge Discovery in Data Mining, ACM Press, 2005, pp. 479-488.
6. M.S. Ackerman, L.F. Cranor, and J. Reagle, "Privacy in E-Commerce: Examining User Scenarios and Privacy Preferences," Proc. 1st ACM Conf. Electronic Commerce, ACM Press, 1999, pp. 1-8.
7. D.R. Millen, J. Feinberg, and B. Kerr, "Dogear: Social Bookmarking in the Enterprise, ," Proc. Sigchi Conf. Human Factors in Computing Systems, ACM Press, 2006, pp. 111-120.
8. M.S. Ackerman, V. Wulf, and V. Pipek eds. Sharing Expertise: Beyond Knowledge Management, MIT Press, 2002.
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