The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Evaluating Conceptual Modeling Practices: Composites, Things, Properties
|
|
Author(s): Graeme Shanks (Monash University, Australia), Jasmina Nuredini (Monash University, Australia)and Ron Weber (Monash University, Australia)
Copyright: 2005
Pages: 28
Source title:
Business Systems Analysis with Ontologies
Source Author(s)/Editor(s): Peter F. Green (University of Queensland, Australia)and Michael Rosemann (Queensland University of Technology, Australia)
DOI: 10.4018/978-1-59140-339-5.ch002
Purchase
|
Abstract
This chapter examines how ontological theory can be used to predict how alternative conceptual modelling representations affect end-user understanding of these representations. Specifically, it examines how ontological theory can be used to show how part-whole relations (composites) and things and properties can be best represented to enhance understanding of these real-world phenomena. We report the outcomes of two experiments that provide evidence to support the ontologically sound representation of part-whole relations and things and properties. We also discuss the outcomes of a cognitive process tracing study that explains why the ontologically sound representation of things and properties is more easily understood. In essence, our empirical research provides evidence to support the use of ontology as a theoretical basis to guide conceptual modelling practices.
Related Content
|
Vincent Lennard Kraus.
© 2023.
32 pages.
|
|
Tlou Maggie Masenya.
© 2023.
16 pages.
|
|
Arzu Tufan, Gurkan Tuna.
© 2023.
30 pages.
|
|
Wasswa Shafik.
© 2023.
19 pages.
|
|
Calvin Nobles, Sharon L. Burton, Darrell Norman Burrell.
© 2023.
23 pages.
|
|
Darrell Norman Burrell, Calvin Nobles, Austin Cusak, Laura Ann Jones, Jorja B. Wright, Horace C. Mingo, Jennifer Ferreras-Perez, Katrina Khanta, Philip Shen, Kevin Richardson.
© 2023.
16 pages.
|
|
Jorja B. Wright, Darrell Norman Burrell.
© 2023.
12 pages.
|
|
|