A web-based interface for hiding Bayesian network inference

Authors:
C. J. Butz;P. Lingras;K. Konkel
Affiliations:
Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada;Department of Math and Computing Science, Saint Mary's University, Halifax, NS, Canada;Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada
Venue:
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Year:
2008

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Abstract

Bayesian networks have been applied for several uncertainty management problems in the artificial intelligence and Web intelligence communities. However, one may require the use of Bayesian networks, yet lack the background knowledge to build them. Moreover, it is widely acknowledged in the Bayesian network community that understanding Bayesian network inference is an arduous task. In this paper, we solve this dilemma by proposing a Web-based interface for hiding Bayesian network inference. This approach allows a much wider audience to utilize Bayesian network inference without having to understand how the inference process is actually carried out.