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Authors: Johannes Nguyen ; Jannik Geyer ; Thomas Farrenkopf and Michael Guckert

Affiliation: KITE - Technische Hochschule Mittelhessen, Wilhelm-Leuschner-Straße 13 , Friedberg and Germany

Keyword(s): Graphical Rule Representation, SWRL, OWL, Rule Visualisation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Symbolic Systems

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 visual ises rules. (More)

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Paper citation in several formats:
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) - KEOD; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 175-182. DOI: 10.5220/0006917701750182

@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) - KEOD},
year={2018},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006917701750182},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD
TI - Aided OWL Notation (AOWLN): Conceptual Modelling and Visualisation of Advanced SWRL Rules
SN - 978-989-758-330-8
IS - 2184-3228
AU - Nguyen, J.
AU - Geyer, J.
AU - Farrenkopf, T.
AU - Guckert, M.
PY - 2018
SP - 175
EP - 182
DO - 10.5220/0006917701750182
PB - SciTePress

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