Scientific Web Intelligence

Scientific Web Intelligence

Mike Thelwall (University of Wolverhampton, UK)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch187
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Abstract

Scientific Web Intelligence (SWI) is a research field that combines techniques from data mining, Web intelligence, and scientometrics to extract useful information from the links and text of academic-related Web pages using various clustering, visualization, and counting techniques. Its origins lie in previous scientometric research into mining off-line academic data sources such as journal citation databases. Typical scientometric objectives are either evaluative (assessing the impact of research) or relational (identifying patterns of communication within and among research fields). From scientometrics, SWI also inherits a need to validate its methods and results so that the methods can be justified to end users, and the causes of the results can be found and explained.

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