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Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching

Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching

Patrick Delfmann, Sebastian Herwig, Lukasz Lis, Jörg Becker
Copyright: © 2012 |Pages: 25
ISBN13: 9781609601263|ISBN10: 1609601262|EISBN13: 9781609601287
DOI: 10.4018/978-1-60960-126-3.ch007
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MLA

Delfmann, Patrick, et al. "Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching." Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications, edited by Stefan Smolnik, et al., IGI Global, 2012, pp. 125-149. https://doi.org/10.4018/978-1-60960-126-3.ch007

APA

Delfmann, P., Herwig, S., Lis, L., & Becker, J. (2012). Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching. In S. Smolnik, F. Teuteberg, & O. Thomas (Eds.), Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications (pp. 125-149). IGI Global. https://doi.org/10.4018/978-1-60960-126-3.ch007

Chicago

Delfmann, Patrick, et al. "Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching." In Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications, edited by Stefan Smolnik, Frank Teuteberg, and Oliver Thomas, 125-149. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-126-3.ch007

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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.

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