Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modular graphical ontology engineering evaluated
Data Semantics Lab, Kansas State University, Manhattan, USA.
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).ORCID iD: 0000-0001-8767-4136
Data Semantics Lab, Kansas State University, Manhattan, USA.
2020 (English)In: The semantic web: 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020, Proceedings / [ed] A. Harth, S Kirrane, A.-C. Ngonga Ngomo, H. Paulheim, A. Rula, A. L. Gentile, P. Haase, & M. Cochez,, Cham: Springer, 2020, p. 20-35Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Cham: Springer, 2020. p. 20-35
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 12123
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-48658DOI: 10.1007/978-3-030-49461-2_2ISBN: 978-3-030-49460-5 (print)ISBN: 978-3-030-49461-2 (electronic)OAI: oai:DiVA.org:hj-48658DiVA, id: diva2:1433860
Conference
17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020
Available from: 2020-06-01 Created: 2020-06-01 Last updated: 2025-10-13Bibliographically approved

Open Access in DiVA

Preprint(4940 kB)299 downloads
File information
File name FULLTEXT01.pdfFile size 4940 kBChecksum SHA-512
a0d4fa9365689e74889ec807d73784c3fc8770c7ec70f9a8a2a0d3c8e1c98b3d2e0236123186d5a9ef1ad01564ebc7696327e92ed6e5310ebf8c020d11be784d
Type fulltextMimetype application/pdf

Other links

Publisher's full textFull-text (view-only)Data set

Authority records

Hammar, Karl

Search in DiVA

By author/editor
Hammar, Karl
By organisation
Jönköping AI Lab (JAIL)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 303 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 480 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf