Translating a knowledge base into HTML

Authors:
Andreja Andrić;Vladan Devedić;Marko Andrejić
Affiliations:
Department of Computer Sciences and Communications, State University of Milan, 20135 Milano, Italy;FON-School of Business Administration, University of Belgrade, P.O. Box 52, Jove Ilića 154, 11000 Belgrade, Serbia and Montenegro;Military Academy, SNO, Neznanog Junaka 38, 11000 Belgrade, Serbia and Montenegro
Venue:
Knowledge-Based Systems
Year:
2006

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Abstract

The problem treated in this paper is the slow response of inference engines, especially in a multi-user environment. In this paper, we present a solution that caches all the possible answers to all the possible consultations, by means of translating the entire knowledge base into a set of HTML documents. We prove that the consumption of memory in this case is acceptable (depends linearly on the number of rules in the initial knowledge base), and that the translational algorithm has polynomial complexity. This solution outperforms any other possible solution, since in this case the infering time becomes equal to zero.