Title: Use semantic decision tables to improve meaning evolution support systems

Authors: Yan Tang, Robert Meersman

Addresses: Semantic Technology and Application Research Laboratory (STAR-Lab), Department of Computer Science, Vrije Universiteit Brussel, Pleinlaan 2, Brussels 1050, Belgium. ' Semantic Technology and Application Research Laboratory (STAR-Lab), Department of Computer Science, Vrije Universiteit Brussel, Pleinlaan 2, Brussels 1050, Belgium

Abstract: Meaning evolution support systems (MESSs) have been recently introduced as a real time, scalable, community-based cooperative systems to support the ontology evolution. In this paper, we intend to address the problems of accuracy and effectiveness by using Semantic Decision Tables (SDTs). A SDT separates general decision rules from the processes, bootstraps policies and template dependencies in the whole system. Recently, DOGMA-MESS (|developing ontology-grounded methodology and applications| framework based |MESS|) are developed at VUB STARLab as a collection of MESS. We embed SDTs in DOGMA-MESS to illustrate our approach. SDTs play the roles in both top-down and bottom-up processes of the meaning evolution cycle. The decision rules that consist of templates dependency rules are mainly responsible for the top-down process execution. The bottom-up process execution relies on the ones that contain the concept lifting algorithms.

Keywords: meaning evolution support systems; ontology evolution; SDT; semantic decision tables; cooperation.

DOI: 10.1504/IJAACS.2010.030314

International Journal of Autonomous and Adaptive Communications Systems, 2010 Vol.3 No.1, pp.92 - 109

Published online: 14 Dec 2009 *

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