Comparing Business Process Ontologies for Task Monitoring

Amina Annane, Mouna Kamel, Nathalie Aussenac-Gilles

Abstract

Business process (BP) modelling is an active area of research due to its multiple applications. For systems that support/monitor operators to perform their tasks (i.e., tasks of a given BP), a formal representation is essential. Various BP ontologies are available to formally represent BP. In this paper, we review and compare a set of nine BP ontologies according to their ability to represent process specification and process execution in a fine-grained way to enable task monitoring. The comparison shows that, on the one hand, ontologies developed from scratch establish a clear distinction between process specification and process execution, but do not allow to represent workflow constraints required for process execution. On the other hand, most of the ontologies, that are ontological versions of existing BP modeling languages, focus only on process specifications but do not represent process execution, or mix the representation of BP specification and execution.

Download


Paper Citation


in Harvard Style

Annane A., Kamel M. and Aussenac-Gilles N. (2020). Comparing Business Process Ontologies for Task Monitoring.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 634-643. DOI: 10.5220/0008978706340643


in Bibtex Style

@conference{icaart20,
author={Amina Annane and Mouna Kamel and Nathalie Aussenac-Gilles},
title={Comparing Business Process Ontologies for Task Monitoring},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={634-643},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008978706340643},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Comparing Business Process Ontologies for Task Monitoring
SN - 978-989-758-395-7
AU - Annane A.
AU - Kamel M.
AU - Aussenac-Gilles N.
PY - 2020
SP - 634
EP - 643
DO - 10.5220/0008978706340643