A Generic Set Theory-based Pattern Matching Approach for the Analysis of Conceptual Models
Becker J, Delfmann P, Herwig S, Lis L
Abstract
Recognizing patterns in conceptual models is useful for a number of purposes, like revealing syntactical errors, model comparison, and identification of business process improvement potentials. In this contribution, we introduce an approach for the specification and matching of structural patterns in conceptual models. Unlike existing approaches, we do not focus on a certain application problem or a specific modeling language. Instead, our approach is generic making it applicable for any pattern matching purpose and any conceptual modeling language. In order to build sets representing structural model patterns, we define operations based on set theory, which can be applied to arbitrary sets of model elements and relationships. Besides a conceptual specification of our approach, we present a prototypical modeling tool that shows its applicability.
Keywords
Conceptual Modeling; Pattern Matching; Set Theory; Analysis
Cite as
Becker, J., Delfmann, P., Herwig, S., & Lis, L. (2009). A Generic Set Theory-based Pattern Matching Approach for the Analysis of Conceptual Models. In Laender, A. H. F., Castano, S., Dayal, U., Casati, F., & de Oliverira, J. P. M. (Eds.),
Conceptual Modeling — ER 2009 28th International Conference on Conceptual Modeling, Gramado, Brazil, November 9-12, 2009. Proceedings (pp. 41–54). Lecture Notes in Computer Science: Vol. 5829. Berlin, Heidelberg: Springer Verlag.
Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2009
Conference
28th International Conference on Conceptual Modeling (ER 2009)
Venue
Gramado
Journal
Lecture notes in computer science
Book title
Conceptual Modeling - ER 2009 28th International Conference on Conceptual Modeling, Gramado, Brazil, November 9-12, 2009. Proceedings
Editor
Laender, A. H. F.; Castano, S.; Dayal, U.; Casati, F.; de Oliverira, J. P. M.
Start page
41
End page
54
Volume
5829
Title of series
Lecture Notes in Computer Science
Publisher
Springer Verlag
Place
Berlin, Heidelberg
Language
English
ISSN
0302-9743
ISBN
978-3-642-04839-5
DOI
