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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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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. |
format | Online Article Text |
id | pubmed-7250591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT shimizucogan modulargraphicalontologyengineeringevaluated AT hammarkarl modulargraphicalontologyengineeringevaluated AT hitzlerpascal modulargraphicalontologyengineeringevaluated |