Strip-Mining the Web with SAIM: A System for the Analysis of Instant Messaging

Strip-Mining the Web with SAIM: A System for the Analysis of Instant Messaging

David G. Schwartz (Bar-Ilan University, Israel) and Zac Sadan (Bar-Ilan University, Israel)
DOI: 10.4018/jbdcn.2006040101
OnDemand PDF Download:
$37.50

Abstract

There is no shortage of knowledge waiting to be mined on the Web. But there is a difference between mining to the depths of the Web and examining what is occurring on its surface. In this article, the authors argue that the search for actionable knowledge should start as close as possible to the user, which, in today’s technological environment, means tapping into Instant Messages. They present a System for the Analysis of Instant Messages, explain the architectural and operational motivation, and show how instant messages can be mined to produce a new source of Web-based knowledge.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 13: 2 Issues (2017): Forthcoming, Available for Pre-Order
Volume 12: 2 Issues (2016): Forthcoming, Available for Pre-Order
Volume 11: 2 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing