Comprehending 3D and 4D ontology-driven conceptual models: An empirical study

Verdonck, M., Gailly, F. and De Cesare, S. 2020. Comprehending 3D and 4D ontology-driven conceptual models: An empirical study. Information Systems. 93 101568. https://doi.org/10.1016/j.is.2020.101568

TitleComprehending 3D and 4D ontology-driven conceptual models: An empirical study
TypeJournal article
AuthorsVerdonck, M.
Gailly, F.
De Cesare, S.
Abstract

This paper presents an empirical study that investigates the extent to which the pragmatic quality of ontology-driven models is influenced by the choice of a particular ontology, given a certain understanding of that ontology. To this end, we analyzed previous research efforts and distilled three hypotheses based on different metaphysical characteristics. An experiment based on two foundational ontologies (UFO and BORO) involving 158 participants was then carried out, followed by a protocol analysis to gain further insights into the results of experiment. We then extracted five derivations from the results of the empirical study in order to summarize our findings. Overall, the results confirm that the choice of a foundational ontology can lead to significant differences in the interpretation and comprehension of the conceptual models produced. Moreover, the effect of applying a certain foundational ontology can cause considerable variations in the effort required to comprehend these models.

KeywordsOntology
Conceptual modeling
Empirical study
Ontology-driven conceptual modeling
Experiment
UFO
BORO
Article number101568
JournalInformation Systems
Journal citation93
ISSN0306-4379
Year2020
PublisherElsevier
Accepted author manuscript
License
CC BY-NC-ND 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1016/j.is.2020.101568
Web address (URL)https://www.sciencedirect.com/science/article/pii/S0306437920300582
Publication dates
Published online03 Jun 2020
Published in printNov 2020

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