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Issue No.01 - January-March (2008 vol.15)
pp: 78-84
ABSTRACT
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.
INDEX TERMS
expertise search, social networks, business intelligence
CITATION
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
REFERENCES
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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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