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Modular Graphical Ontology Engineering Evaluated

Ontology engineering is traditionally a complex and time-consuming process, requiring an intimate knowledge of description logic and predicting non-local effects of different ontological commitments. Pattern-based modular ontology engineering, coupled with a graphical modeling paradigm, can help mak...

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Detalles Bibliográficos
Autores principales: Shimizu, Cogan, Hammar, Karl, Hitzler, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250591/
http://dx.doi.org/10.1007/978-3-030-49461-2_2
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author Shimizu, Cogan
Hammar, Karl
Hitzler, Pascal
author_facet Shimizu, Cogan
Hammar, Karl
Hitzler, Pascal
author_sort Shimizu, Cogan
collection PubMed
description Ontology engineering is traditionally a complex and time-consuming process, requiring an intimate knowledge of description logic and predicting non-local effects of different ontological commitments. Pattern-based modular ontology engineering, coupled with a graphical modeling paradigm, can help make ontology engineering accessible to modellers with limited ontology expertise. We have developed CoModIDE, the Comprehensive Modular Ontology IDE, to develop and explore such a modeling approach. In this paper we present an evaluation of the CoModIDE tool, with a set of 21 subjects carrying out some typical modeling tasks. Our findings indicate that using CoModIDE improves task completion rate and reduces task completion time, compared to using standard Protégé. Further, our subjects report higher System Usability Scale (SUS) evaluation scores for CoModIDE, than for Protégé. The subjects also report certain room for improvements in the CoModIDE tool – notably, these comments all concern comparatively shallow UI bugs or issues, rather than limitations inherent in the proposed modeling method itself. We deduce that our modeling approach is viable, and propose some consequences for ontology engineering tool development.
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spelling pubmed-72505912020-05-27 Modular Graphical Ontology Engineering Evaluated Shimizu, Cogan Hammar, Karl Hitzler, Pascal The Semantic Web Article Ontology engineering is traditionally a complex and time-consuming process, requiring an intimate knowledge of description logic and predicting non-local effects of different ontological commitments. Pattern-based modular ontology engineering, coupled with a graphical modeling paradigm, can help make ontology engineering accessible to modellers with limited ontology expertise. We have developed CoModIDE, the Comprehensive Modular Ontology IDE, to develop and explore such a modeling approach. In this paper we present an evaluation of the CoModIDE tool, with a set of 21 subjects carrying out some typical modeling tasks. Our findings indicate that using CoModIDE improves task completion rate and reduces task completion time, compared to using standard Protégé. Further, our subjects report higher System Usability Scale (SUS) evaluation scores for CoModIDE, than for Protégé. The subjects also report certain room for improvements in the CoModIDE tool – notably, these comments all concern comparatively shallow UI bugs or issues, rather than limitations inherent in the proposed modeling method itself. We deduce that our modeling approach is viable, and propose some consequences for ontology engineering tool development. 2020-05-07 /pmc/articles/PMC7250591/ http://dx.doi.org/10.1007/978-3-030-49461-2_2 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Shimizu, Cogan
Hammar, Karl
Hitzler, Pascal
Modular Graphical Ontology Engineering Evaluated
title Modular Graphical Ontology Engineering Evaluated
title_full Modular Graphical Ontology Engineering Evaluated
title_fullStr Modular Graphical Ontology Engineering Evaluated
title_full_unstemmed Modular Graphical Ontology Engineering Evaluated
title_short Modular Graphical Ontology Engineering Evaluated
title_sort modular graphical ontology engineering evaluated
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250591/
http://dx.doi.org/10.1007/978-3-030-49461-2_2
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