Title
An experiment on an ontology-based support approach for process modeling.
Abstract
Context: Recent research discusses the use of ontologies, dictionaries and thesaurus as a means to improve activity labels of process models. However, the trade-off between quality improvement and extra effort is still an open question. It is suspected that ontology-based support could require additional effort for the modeler.Objective: In this paper, we investigate to which degree ontology-based support potentially increases the effort of modeling. We develop a theoretical perspective grounded in cognitive psychology, which leads us to the definition of three design principles for appropriate ontology-based support. The objective is to evaluate the design principles through empirical experimentation.Method: We tested the effect of presenting relevant content from the ontology to the modeler by means of a quantitative analysis. We performed controlled experiments using a prototype, which generates a simplified and context-aware visual representation of the ontology. It logs every action of the process modeler for analysis. The experiment refers to novice modelers and was performed as between-subject design with vs. without ontology-based support. It was carried out with two different samples.Results: Part of the effort-related variables we measured showed significant statistical difference between the group with and without ontology-based support. Overall, for the collected data, the ontology support achieved good results.Conclusion: We conclude that it is feasible to provide ontology-based support to the modeler in order to improve process modeling without strongly compromising time consumption and cognitive effort.
Year
DOI
Venue
2017
10.1016/j.infsof.2016.11.005
Information & Software Technology
Keywords
Field
DocType
Business process modeling,Process of process modeling,Ontologies,Activity labels,Cognitive load
Ontology (information science),Data mining,Ontology,Ontology alignment,Ontology-based data integration,Process ontology,Computer science,Process modeling,Suggested Upper Merged Ontology,Upper ontology
Journal
Volume
Issue
ISSN
83
C
0950-5849
Citations 
PageRank 
References 
2
0.37
39
Authors
5
Name
Order
Citations
PageRank
Jonas Gassen192.52
Jan Mendling24250245.37
Amel Bouzeghoub319733.26
Lucinéia Heloisa Thom410321.87
José Palazzo Moreira de Oliveira518927.74