A Proposal for an Ontology Metrics Selection Process

Achim Reiz, Kurt Sandkuhl

2023

Abstract

Ontologies are the glue for the semantic web, knowledge graphs, and rule-based intelligence in general. They build on description logic, and their development is a non-trivial task. The underlying complexity emphasizes the need for quality control, and one way to measure ontologies is through ontology metrics. For a long time, the calculation of ontology metrics was merely a theoretical proposal: While there was no shortage of proposed ontology metrics, actual applications were mostly missing. That changed with the creation of NEOntometrics, a tool that implemented the majority of ontology metrics proposed in the literature. While it is now possible to calculate large amounts of ontology metrics, it also revealed that the calculation alone does not make the metrics useful (yet). In NEOntometrics alone, there are over 160 ontology metrics – a careful selection for the given use case is crucial. This position paper argues for a selection process for ontology metrics. It first presents core questions for identifying the underlying ontology requirements and then guides users to identify the correct attributes and their associated measures.

Paper Citation

in Harvard Style

Reiz A. and Sandkuhl K. (2023). A Proposal for an Ontology Metrics Selection Process. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 583-590. DOI: 10.5220/0011983800003467

in Bibtex Style

@conference{iceis23,
author={Achim Reiz and Kurt Sandkuhl},
title={A Proposal for an Ontology Metrics Selection Process},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2023},
pages={583-590},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011983800003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Proposal for an Ontology Metrics Selection Process
SN - 978-989-758-648-4
AU - Reiz A.
AU - Sandkuhl K.
PY - 2023
SP - 583
EP - 590
DO - 10.5220/0011983800003467
PB - SciTePress