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Authors: Sonya Ouali ; Mohamed Mhiri and Faiez Gargouri

Affiliation: University of Sfax and MIR@CL Laboratory, Tunisia

ISBN: 978-989-758-250-9

Keyword(s): Business Process, BPM, Ontology, Multidimensional Business Knowledge, Semantic Relationships, Breast Cancer.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Engineering ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Software Engineering ; Symbolic Systems

Abstract: The process is the pivot of the business modeling. Thus, the goal of modeling is to present the main flows exchanged with the internal and external environment. Indeed, there are several pieces of information that take place throughout the process life cycle, from design to execution. Behind these pieces of information, there is a lot of business knowledge that should be acquired to improve the quality of such a modeling. The aim of this paper is to manipulate the business knowledge when developing modeling perspectives. For this reason, our solution consists in proposing an ontological approach to create a Multidimensional Business Knowledge base (MBK BASE) to help the designers of the business process with their tasks. In this way, on the one hand, we outline an overview of our proposed solution by relating it to other research. In fact, we define the main business concepts and we describe some semantic relationships which are expressed with the descriptive logic. On the other hand, we give an illustrative case study related to the treatment choice process of a patient with breast cancer in order to demonstrate the applicability of our solution. (More)

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Paper citation in several formats:
Ouali, S.; Mhiri, M. and Gargouri, F. (2017). Knowledge Engineering for Business Process Modeling.In Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-250-9, pages 81-90. DOI: 10.5220/0006323200810090

@conference{enase17,
author={Sonya Ouali. and Mohamed Mhiri. and Faiez Gargouri.},
title={Knowledge Engineering for Business Process Modeling},
booktitle={Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2017},
pages={81-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006323200810090},
isbn={978-989-758-250-9},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Knowledge Engineering for Business Process Modeling
SN - 978-989-758-250-9
AU - Ouali, S.
AU - Mhiri, M.
AU - Gargouri, F.
PY - 2017
SP - 81
EP - 90
DO - 10.5220/0006323200810090

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