IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching

Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching
View Sample PDF
Author(s): Patrick Delfmann (University of Münster, Germany), Sebastian Herwig (University of Münster, Germany), Lukasz Lis (University of Münster, Germany) and Jörg Becker (University of Münster, Germany)
Copyright: 2012
Pages: 25
Source title: Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications
Source Author(s)/Editor(s): Stefan Smolnik (European Business School (EBS), Germany), Frank Teuteberg (University Osnabrueck, Germany) and Oliver Thomas (Saarland University, Germany)
DOI: 10.4018/978-1-60960-126-3.ch007

Purchase

View Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching on the publisher's website for pricing and purchasing information.

Abstract

Analysis of conceptual models is useful for a number of purposes, such as revealing syntactical errors, model comparison, model integration, and identification of business process improvement potentials, with both the model structure and the model contents having to be considered. In this contribution, we introduce a generic model analysis approach. 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 analysis purpose and any graph-based conceptual modeling language. The approach integrates pattern matching for structural analysis and linguistic standardization enabling an unambiguous analysis of the models’ contents.

Related Content

. © 2020. 58 pages.
. © 2020. 52 pages.
. © 2020. 10 pages.
. © 2020. 14 pages.
. © 2020. 33 pages.
. © 2020. 13 pages.
. © 2020. 36 pages.
Body Bottom