ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model

Knut Hinkelmann, Emanuele Laurenzi, Andreas Martin, Devid Montecchiari, Maja Spahic, Barbara Thönssen

Abstract

Many enterprises face the increasing challenge of sharing and exchanging data from multiple heterogeneous sources. Enterprise Ontologies can be used to effectively address such challenge. In this paper, we present an Enterprise Ontology called ArchiMEO, which is based on an ontological representation of the ArchiMate standard for modeling Enterprise Architectures. ArchiMEO has been extended to cover various application domains such as supply risk management, experience management, workplace learning and business process as a service. Such extensions have successfully proven that our Enterprise Ontology is beneficial for enterprise applications integration purposes.

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Paper Citation


in Harvard Style

Hinkelmann K., Laurenzi E., Martin A., Montecchiari D., Spahic M. and Thönssen B. (2020). ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model.In Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-400-8, pages 417-424. DOI: 10.5220/0009000204170424


in Bibtex Style

@conference{modelsward20,
author={Knut Hinkelmann and Emanuele Laurenzi and Andreas Martin and Devid Montecchiari and Maja Spahic and Barbara Thönssen},
title={ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model},
booktitle={Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2020},
pages={417-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009000204170424},
isbn={978-989-758-400-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model
SN - 978-989-758-400-8
AU - Hinkelmann K.
AU - Laurenzi E.
AU - Martin A.
AU - Montecchiari D.
AU - Spahic M.
AU - Thönssen B.
PY - 2020
SP - 417
EP - 424
DO - 10.5220/0009000204170424