An Ontology for Ontology Metrics: Creating a Shared Understanding of Measurable Attributes for Humans and Machines

Achim Reiz, Kurt Sandkuhl

2022

Abstract

Measuring ontologies using metrics requires specialized software. While the past years saw various developments regarding tools and frameworks, these efforts mainly stayed isolated in their applied assessments. A paper measuring an ontology using the oQual framework is hardly comparable to one that applies the metrics from OntoQA. First, the performed calculations are often bound to the used tools, and second, the correct interpretation of ontology metrics requires a deep understanding of their measured aspects. Our research tackles these challenges by providing an ontology for ontology metrics. This artifact (A.) collects the various proposed ontology measurement frameworks with human-readable descriptions. It lets users quickly inform themselves on the assessments and aspects one can measure. (B) it formalizes the metric calculations. The framework metrics are connected to shared measurable elements, homogenizing the notations and languages. At last, (C.) the ontology is the backbone of the newly developed NEOntometrics application. The software uses the formalized metric descriptions to set up the calculations for the various frameworks. We believe our research can break the silos of different measurements, enable knowledge engineers to calculate various metrics quickly, and researchers to put new measurements into use through simple adaption of the metric ontology.

Paper Citation

in Harvard Style

Reiz A. and Sandkuhl K. (2022). An Ontology for Ontology Metrics: Creating a Shared Understanding of Measurable Attributes for Humans and Machines. 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 193-199. DOI: 10.5220/0011551500003335

in Bibtex Style

@conference{keod22,
author={Achim Reiz and Kurt Sandkuhl},
title={An Ontology for Ontology Metrics: Creating a Shared Understanding of Measurable Attributes for Humans and Machines},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD},
year={2022},
pages={193-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011551500003335},
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 - An Ontology for Ontology Metrics: Creating a Shared Understanding of Measurable Attributes for Humans and Machines
SN - 978-989-758-614-9
AU - Reiz A.
AU - Sandkuhl K.
PY - 2022
SP - 193
EP - 199
DO - 10.5220/0011551500003335
PB - SciTePress