Aided OWL Notation (AOWLN): Conceptual Modelling and Visualisation of Advanced SWRL Rules

Johannes Nguyen, Jannik Geyer, Thomas Farrenkopf, Michael Guckert

2018

Abstract

Ontologies are a common and generally accepted instrument for the documentation of knowledge in a forma-lised machine readable form. This paper focuses on ontologies encoded in Web Ontology Language (OWL). OWL is description-logic based and can be extended by using Semantic Web Rule Language (SWRL) to express Horn clause like rules that allow the ontology to go beyond the scope of the more object-centric description logic propositions. The combination of OWL and SWRL has proved to be highly useful in practical applications. However, SWRL rules soon become complex and confusing in mere textual representations. This particular issue becomes obvious when ontologies grow in size and the number of rules increases. A solution for this problem can be an appropriate graphical representation of the rules. This paper proposes a graphical visualisation concept for SWRL rules that we call Aided OWL Notation (AOWLN). Additionally, we present a prototypical Protégé plugin that automatically visualises rules.

Paper Citation

in Harvard Style

Nguyen J., Geyer J., Farrenkopf T. and Guckert M. (2018). Aided OWL Notation (AOWLN): Conceptual Modelling and Visualisation of Advanced SWRL Rules. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD; ISBN 978-989-758-330-8, SciTePress, pages 175-182. DOI: 10.5220/0006917701750182

in Bibtex Style

@conference{keod18,
author={Johannes Nguyen and Jannik Geyer and Thomas Farrenkopf and Michael Guckert},
title={Aided OWL Notation (AOWLN): Conceptual Modelling and Visualisation of Advanced SWRL Rules},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD},
year={2018},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006917701750182},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD
TI - Aided OWL Notation (AOWLN): Conceptual Modelling and Visualisation of Advanced SWRL Rules
SN - 978-989-758-330-8
AU - Nguyen J.
AU - Geyer J.
AU - Farrenkopf T.
AU - Guckert M.
PY - 2018
SP - 175
EP - 182
DO - 10.5220/0006917701750182
PB - SciTePress