Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables

Authors:
Yan Tang;Robert Meersman;Jan Vanthienen
Affiliations:
Semantic Technology and Application Research Laboratory (STARLab), Department of Computer Science, Vrije Universiteit Brussel, Brussels, Belgium B-1050;Semantic Technology and Application Research Laboratory (STARLab), Department of Computer Science, Vrije Universiteit Brussel, Brussels, Belgium B-1050;Faculty of Business and Economics Department of Decision Sciences and Information Management, Katholieke Universiteit Leuven, LEUVEN, Belgium 3000
Venue:
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Year:
2008

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Abstract

A Semantic Decision Table (SDT) provides a means to captureand examinedecision makers' concepts, as well as a tool for refiningtheir decision knowledge and facilitating knowledgesharingin a scalablemanner. One challenge SDT faces is to organize decision resources represented in a tabular format based on the user's needs at different levels. It is important to make it self organizedand automatically reorganizedwhen the requirements are updated. This paper describes the ongoing research on SDT and its tool that supports the self organizations and automatic reorganization of decision tables. We argue that simplicity, precision, and flexibilityare the key issues to respond to the paper challenge. We propose a novel combination of the principles of Decision Support and Database Modeling, together with the modern technologies in Ontology Engineering, in the adaptive self-organization and automatic reorganization procedures (SOAR).