An Extensible Approach to Multi-level Ontology Modelling

Hermann Bense, Bernhard G. Humm

2021

Abstract

One major challenge in ontology engineering is deciding whether an entity should be modelled as a class or as an instance. Different modelling traditions and guidelines lead to different modelling decisions. This causes problems when integrating ontologies modelled according to different guidelines and trying to query over integrated ontologies. This article proposes a modelling approach which rigorously utilizes multi-level ontology modelling. In particular, multi-facet behaviour allows entities to be modelled as classes and instances simultaneously, where needed. It is argued that this supports simplicity, expressiveness, modularity, flexibility and extensibility of ontologies. The guidelines can be fully implemented using the W3C standards RDF/RDFS and SPARQL, allowing to implement inheritance behaviour using standardized inferencing mechanisms.

Paper Citation

in Harvard Style

Bense H. and Humm B. (2021). An Extensible Approach to Multi-level Ontology Modelling. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 3: KMIS; ISBN 978-989-758-533-3, SciTePress, pages 184-193. DOI: 10.5220/0010684200003064

in Bibtex Style

@conference{kmis21,
author={Hermann Bense and Bernhard G. Humm},
title={An Extensible Approach to Multi-level Ontology Modelling},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 3: KMIS},
year={2021},
pages={184-193},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010684200003064},
isbn={978-989-758-533-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 3: KMIS
TI - An Extensible Approach to Multi-level Ontology Modelling
SN - 978-989-758-533-3
AU - Bense H.
AU - Humm B.
PY - 2021
SP - 184
EP - 193
DO - 10.5220/0010684200003064
PB - SciTePress