Towards an Ontology to Enforce Enterprise Architecture Mining

Carlos Pinheiro, Carlos Pinheiro, Sérgio Guerreiro, Sérgio Guerreiro, Henrique Mamede, Henrique Mamede

2023

Abstract

Enterprise Architecture (EA) is a coherent set of principles, methods, and models that express the structure of an enterprise and its IT landscape. EA mining uses data mining techniques to automate EA modelling tasks. Ontologies help to define concepts and the relationships among these concepts to describe a domain of interest. This work presents an extensible ontology for EA mining focused on extracting architectural models that use logs from an API gateway as the data source. The proposed ontology was developed using the OntoUML language to ensure its quality and avoid anti-patterns through ontology rule checks. Then, a hypothesized scenario using data structures close to the real is used to simulate the ontology application and validate its theoretical feasibility as well as its contribution to the Enterprise Architecture Management field.

Paper Citation

in Harvard Style

Pinheiro C., Guerreiro S. and Mamede H. (2023). Towards an Ontology to Enforce Enterprise Architecture Mining. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 660-668. DOI: 10.5220/0012032300003467

in Bibtex Style

@conference{iceis23,
author={Carlos Pinheiro and Sérgio Guerreiro and Henrique Mamede},
title={Towards an Ontology to Enforce Enterprise Architecture Mining},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2023},
pages={660-668},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012032300003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Towards an Ontology to Enforce Enterprise Architecture Mining
SN - 978-989-758-648-4
AU - Pinheiro C.
AU - Guerreiro S.
AU - Mamede H.
PY - 2023
SP - 660
EP - 668
DO - 10.5220/0012032300003467
PB - SciTePress