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Modular Graphical Ontology Engineering Evaluated

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageAmerican English
Title of host publicationThe Semantic Web - 17th International Conference, ESWC 2020, Proceedings
EditorsAndreas Harth, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Heiko Paulheim, Anisa Rula, Anna Lisa Gentile, Peter Haase, Michael Cochez
PublisherSpringer
Pages20-35
Number of pages16
ISBN (Print)9783030494605
DOIs
StatePublished - 2020
Externally publishedYes
Event17th Extended Semantic Web Conference, ESWC 2020 - Heraklion, Greece
Duration: May 31 2020Jun 4 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12123 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Extended Semantic Web Conference, ESWC 2020
Country/TerritoryGreece
CityHeraklion
Period5/31/206/4/20

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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