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Understanding business domain models: the effect of recognizing resource-event-agent conceptual modeling structures

Geert Poels UGent (2011) JOURNAL OF DATABASE MANAGEMENT. 22(1). p.69-101
abstract
In this paper, the author investigates the effect on understanding of using business domain models that are constructed with Resource-Event-Agent (REA) modeling patterns. First, the author analyzes REA modeling structures to identify the enabling factors and the mechanisms by means of which users recognize these structures in a conceptual model and description of an information retrieval and interpretation task. Based on this understanding, the author hypothesizes positive effects on model understanding for situations where REA patterns can be recognized in both task and model. An experiment is then conducted to demonstrate a better understanding of models with REA patterns compared to information equivalent models without REA patterns. The results of this experiment indicate that REA patterns can be recognized with minimal prior patterns training and that the use of REA patterns leads to models that are easier to understand for novice model users.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Pattern Learning, Pattern Recognition, Model Understanding, Modeling Patterns, Enterprise Ontology, Conceptual Modeling, Business Domain Model, FRAMEWORK, SIMILARITY, COMPLEXITY, VALIDATION, PERFORMANCE, QUALITY, REPRESENTATION, ACCOUNTING MODEL, OPTIONAL PROPERTIES, INFORMATION-SYSTEMS
journal title
JOURNAL OF DATABASE MANAGEMENT
J. Database Manage.
volume
22
issue
1
pages
69 - 101
Web of Science type
Article
Web of Science id
000285693400004
JCR category
COMPUTER SCIENCE, SOFTWARE ENGINEERING
JCR impact factor
0.875 (2011)
JCR rank
52/103 (2011)
JCR quartile
3 (2011)
ISSN
1063-8016
DOI
10.4018/jdm.2011010104
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1095745
handle
http://hdl.handle.net/1854/LU-1095745
date created
2011-01-07 14:13:33
date last changed
2011-10-12 14:31:18
@article{1095745,
  abstract     = {In this paper, the author investigates the effect on understanding of using business domain models that are constructed with Resource-Event-Agent (REA) modeling patterns. First, the author analyzes REA modeling structures to identify the enabling factors and the mechanisms by means of which users recognize these structures in a conceptual model and description of an information retrieval and interpretation task. Based on this understanding, the author hypothesizes positive effects on model understanding for situations where REA patterns can be recognized in both task and model. An experiment is then conducted to demonstrate a better understanding of models with REA patterns compared to information equivalent models without REA patterns. The results of this experiment indicate that REA patterns can be recognized with minimal prior patterns training and that the use of REA patterns leads to models that are easier to understand for novice model users.},
  author       = {Poels, Geert},
  issn         = {1063-8016},
  journal      = {JOURNAL OF DATABASE MANAGEMENT},
  keyword      = {Pattern Learning,Pattern Recognition,Model Understanding,Modeling Patterns,Enterprise Ontology,Conceptual Modeling,Business Domain Model,FRAMEWORK,SIMILARITY,COMPLEXITY,VALIDATION,PERFORMANCE,QUALITY,REPRESENTATION,ACCOUNTING MODEL,OPTIONAL PROPERTIES,INFORMATION-SYSTEMS},
  language     = {eng},
  number       = {1},
  pages        = {69--101},
  title        = {Understanding business domain models: the effect of recognizing resource-event-agent conceptual modeling structures},
  url          = {http://dx.doi.org/10.4018/jdm.2011010104},
  volume       = {22},
  year         = {2011},
}

Chicago
Poels, Geert. 2011. “Understanding Business Domain Models: The Effect of Recognizing Resource-event-agent Conceptual Modeling Structures.” Journal of Database Management 22 (1): 69–101.
APA
Poels, G. (2011). Understanding business domain models: the effect of recognizing resource-event-agent conceptual modeling structures. JOURNAL OF DATABASE MANAGEMENT, 22(1), 69–101.
Vancouver
1.
Poels G. Understanding business domain models: the effect of recognizing resource-event-agent conceptual modeling structures. JOURNAL OF DATABASE MANAGEMENT. 2011;22(1):69–101.
MLA
Poels, Geert. “Understanding Business Domain Models: The Effect of Recognizing Resource-event-agent Conceptual Modeling Structures.” JOURNAL OF DATABASE MANAGEMENT 22.1 (2011): 69–101. Print.