Ontology Metrics as a Service (OMaaS)

Achim Reiz, Henrik Dibowski, Kurt Sandkuhl, Birger Lantow

2020

Abstract

The use of automatically calculated metrics for the evaluation of ontologies can provide impartial support for knowledge engineers. However, even though the use of ontological representations is unabated – in opposite expected to rise through the increasing use of AI technologies – most ontology evaluation tools today are no longer available or outdated. At the same time, due to the growth of the computational cloud, service-driven architectures are on the rise, and enterprises tend to prefer to consume services in a platform- or software as a service model. In this paper, we argue that the change of the IT-landscape also requires a change in how we offer and consume ontology metrics. This hypothesis is backed by an industrial use-case of Robert Bosch GmbH and their application of ontologies, as well as their need and requirements for ontology evaluation. It motivated the extension of the tool OntoMetrics with a REST-interface, offering a public endpoint for ontology metrics on the Internet.

Paper Citation

in Harvard Style

Reiz A., Dibowski H., Sandkuhl K. and Lantow B. (2020). Ontology Metrics as a Service (OMaaS). In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD; ISBN 978-989-758-474-9, SciTePress, pages 250-257. DOI: 10.5220/0010144002500257

in Bibtex Style

@conference{keod20,
author={Achim Reiz and Henrik Dibowski and Kurt Sandkuhl and Birger Lantow},
title={Ontology Metrics as a Service (OMaaS)},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD},
year={2020},
pages={250-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010144002500257},
isbn={978-989-758-474-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD
TI - Ontology Metrics as a Service (OMaaS)
SN - 978-989-758-474-9
AU - Reiz A.
AU - Dibowski H.
AU - Sandkuhl K.
AU - Lantow B.
PY - 2020
SP - 250
EP - 257
DO - 10.5220/0010144002500257
PB - SciTePress