Debunking the Stereotypical Ontology Development Process

Achim Reiz, Kurt Sandkuhl

2022

Abstract

Ontologies facilitate meaning between human and computational actors. On the one hand, the underlying technology can be considered mature. It has a standardized language, established tools for editing and sharing, and broad adoption in practice and research. On the other hand, we still know little about how these artifacts evolve over their lifetime, even though knowledge of the development process could influence quality control. It would enable us to give knowledge engineers better modeling or selection guidelines. This paper examines the evolution of computational ontologies using ontology metrics. First, we gathered hypotheses on the ontology development process. We assume that groups of ontologies follow a similar development pattern and that a stereotypical development process exists. Afterward, these hypotheses are tested against historical metric data from 7053 versions from 69 dormant ontologies. We will show that ontology development processes are highly heterogeneous. While the made hypotheses are partly true for a slight majority of ontologies, concluding the bigger picture of ontology development down to the individual ontologies is mostly not possible.

Paper Citation

in Harvard Style

Reiz A. and Sandkuhl K. (2022). Debunking the Stereotypical Ontology Development Process. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD; ISBN 978-989-758-614-9, SciTePress, pages 82-91. DOI: 10.5220/0011573600003335

in Bibtex Style

@conference{keod22,
author={Achim Reiz and Kurt Sandkuhl},
title={Debunking the Stereotypical Ontology Development Process},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD},
year={2022},
pages={82-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011573600003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD
TI - Debunking the Stereotypical Ontology Development Process
SN - 978-989-758-614-9
AU - Reiz A.
AU - Sandkuhl K.
PY - 2022
SP - 82
EP - 91
DO - 10.5220/0011573600003335
PB - SciTePress