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Towards a Decision Support System An Ontology Validation

Authors:
Raja Hanafi
Lassad Mejri
Henda Hajjami Ben Ghezala

Keywords: support decision; decision making; decision ontology; ontology validation; computer project

Abstract:
In certain complex situations Decision-making takes into account a large number of the so-called knowledge of decision-support. This knowledge is often represented as a set of database definitions, knowledge bases, general information, domain data, statistical data, etc. To make the right decisions and to make good use of this mass of knowledge, it is preferable to formalize, represent and model them. In the literature, several works suggest using the ontology as a adequate solution to represent the decision making and decision support knowledge. Inspired by this work and based on the main objective of our research work, decision ontology was proposed to represent and formalize our decision support system knowledge which is proposed for computer Project Manager. The problem here is that the good practice of a decision-making system or a decision support system is not limited to the structuring and representation of the knowledge used. This knowledge, and given the delicacy of the domain studied (computing) requires to be evaluated and to be validated by domain experts. Accordingly incremental and multi-intervention approaches for the validation of the proposed ontology were proposed. This validation also allowed us to confirm the set of concepts and relationships forming the given ontology. The result of this research is a validated ontology which will allow us to build the memory of our project and to feed a good consistent and rich decision knowledge base.

Pages: 30 to 36

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-894-5

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021