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Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables

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Database and Expert Systems Applications (DEXA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5181))

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Abstract

A Semantic Decision Table (SDT) provides a means to capture and examine decision makers’ concepts, as well as a tool for refining their decision knowledge and facilitating knowledge sharing in a scalable manner. 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 organized and automatically reorganized when 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 flexibility are 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).

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Authors and Affiliations

  1. Semantic Technology and Application Research Laboratory (STARLab), Department of Computer Science, Vrije Universiteit Brussel, Pleinlaan 2, B-1050, Brussels, Belgium

    Yan Tang & Robert Meersman

  2. Faculty of Business and Economics Department of Decision Sciences and Information Management, Katholieke Universiteit Leuven, Naamsestraat 69, 3000, LEUVEN, Belgium

    Jan Vanthienen

Authors
  1. Yan Tang
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  2. Robert Meersman
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  3. Jan Vanthienen
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Editor information

Sourav S. Bhowmick Josef Küng Roland Wagner

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Tang, Y., Meersman, R., Vanthienen, J. (2008). Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables. In: Bhowmick, S.S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2008. Lecture Notes in Computer Science, vol 5181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85654-2_39

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  • DOI: https://doi.org/10.1007/978-3-540-85654-2_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85653-5

  • Online ISBN: 978-3-540-85654-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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