Adaptive web information extraction
Communications of the ACM - Two decades of the language-action perspective
Dynamic interactive framework to link business intelligence with strategy
International Journal of Information Technology and Management
Mapping geographic coverage of the web
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Report on the TrebleCLEF query log analysis workshop 2009
ACM SIGIR Forum
A RECOMBINANT KNOWLEDGE ASSIMILATION COMMON PROCESS FOR RECURSIVE TRANSDISCIPLINE SYNTHESIS
Journal of Integrated Design & Process Science
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It is estimated that over seven billion static pages exist in the Web today, and backend databases can potentially produce at least three times as many dynamic pages. However, the best search engines index only approximately 20% of the static pages.So the real question is: While the Web is certainly the most amazing and comprehensive information source ever created, are you really getting all the information you need for your specific purpose? The answer to this question is mostly "yes" for the individual user, who uses the Web as an information source for casual purposes. However, for an individual who uses the Web as an essential and comprehensive source of information--for business or research--the answer is quite the opposite. Even a sophisticated Web user requires a significant amount of time and effort to find all of the information needed for a given task. In this paper the concept of Web Business Intelligence (WBI) is introduced, an emerging class of software that leverages the unprecedented content on the Web to extract actionable knowledge in an organizational setting. The contributions include an architecture for WBI, a survey of technologies relevant to the various components of the architecture, and illustration of the value of WBI by means of a detailed example from the e-finance domain. This article concludes with a discussion on the future of WBI.