A Social Bookmarking-Based People Search Service: Building Communities of Practice with Collective Intelligence

A Social Bookmarking-Based People Search Service: Building Communities of Practice with Collective Intelligence

Jeff J.S. Huang, Stephen J.H. Yang, Jeng C.C Chen, Irene Y.S. Li, Indy Y.T. Hsiao
ISBN13: 9781613501351|ISBN10: 1613501358|EISBN13: 9781613501368
DOI: 10.4018/978-1-61350-135-1.ch011
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MLA

Huang, Jeff J.S., et al. "A Social Bookmarking-Based People Search Service: Building Communities of Practice with Collective Intelligence." Information Technology for Intellectual Property Protection: Interdisciplinary Advancements, edited by Hideyasu Sasaki, IGI Global, 2012, pp. 289-305. https://doi.org/10.4018/978-1-61350-135-1.ch011

APA

Huang, J. J., Yang, S. J., Chen, J. C., Li, I. Y., & Hsiao, I. Y. (2012). A Social Bookmarking-Based People Search Service: Building Communities of Practice with Collective Intelligence. In H. Sasaki (Ed.), Information Technology for Intellectual Property Protection: Interdisciplinary Advancements (pp. 289-305). IGI Global. https://doi.org/10.4018/978-1-61350-135-1.ch011

Chicago

Huang, Jeff J.S., et al. "A Social Bookmarking-Based People Search Service: Building Communities of Practice with Collective Intelligence." In Information Technology for Intellectual Property Protection: Interdisciplinary Advancements, edited by Hideyasu Sasaki, 289-305. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-135-1.ch011

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Abstract

The emergence of Web 2.0 has brought along the trend of community. It is also the trend that contributes to socialization of the Internet. The essence of Web 2.0 is creation and sharing which give rise to social networking communities such as Blog, Wikipedia and Facebook. Through Wikipedia, Blogs, Facebook and other kinds of social networking websites, interactive relationship and bridge of knowledge sharing have been built up successfully. This paper attempts to propose an effective way to locate people with shared interests. By using Internet resources bookmarked by the users, the similarity of interests between them can be analyzed. Based on this relationship, people could build communities. Also, through community activities, the innovation and exchange of collective intelligence are accomplished.

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