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An Ontology-based Approach For Conformance Checking of Decision Mining Rules

Authors:
Sahar Toumia
Asma Mejri
Sonia Ayachi-Ghannouchi

Keywords: Decision mining; DMN; decision rules; ontology rules; conformance

Abstract:
The decision mining field allows identifying decision points and analyzing rules for each choice depending on the available attributes in the business process. While significant advances have been made in this regard, little attention has been given to the manner of exploring the discovered rules, analyzing them and addressing the issue about their meaning and appropriateness. In order to alleviate this issue, in this work, we explore the possibility of investigating the conformance checking between the discovered rules that are generated by decision mining techniques and the knowledge rules of the corresponding ontology. We propose an Ontology-based approach for Conformance Checking of Decision mining rules (O2CD) in order to discover from event logs the decision models for a given process model and check the conformity between the corresponding discovered decision rules and the rules of an existing ontology. Our approach was evaluated using the COVID-19 case study in the COVID-19 crisis unit of the Farhat Hached University Hospital Center.

Pages: 141 to 148

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