Representing BORM Process Models using OWL and RDF

Marek Suchánek, Marek Suchánek, Robert Pergl

2021

Abstract

Business Object Relationship Modeling (BORM) is a business process analysis method based on communicating finite-state machines and Petri nets. However, because of its tooling support and non-interoperability of formats, it is rather niche. This work proposes a way of representing the knowledge from BORM process models in RDF by creating a BORM ontology. It benefits from previous work done on different conceptual and process modelling languages and their transformations to OWL. The resulting RDF representation brings increased interoperability and enhanced analysis possibilities, e.g., using SPARQL or RDF visualization tools. A part of this work is also a BORM-to-RDF export feature for the OpenPonk modelling platform. The resulting BORM ontology is ready for use in practice and further work.

Paper Citation

in Harvard Style

Suchánek M. and Pergl R. (2021). Representing BORM Process Models using OWL and RDF. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD; ISBN 978-989-758-533-3, SciTePress, pages 170-177. DOI: 10.5220/0010653900003064

in Bibtex Style

@conference{keod21,
author={Marek Suchánek and Robert Pergl},
title={Representing BORM Process Models using OWL and RDF},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD},
year={2021},
pages={170-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010653900003064},
isbn={978-989-758-533-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD
TI - Representing BORM Process Models using OWL and RDF
SN - 978-989-758-533-3
AU - Suchánek M.
AU - Pergl R.
PY - 2021
SP - 170
EP - 177
DO - 10.5220/0010653900003064
PB - SciTePress