Fundamental Conceptual Modeling Languages in OMiLAB

Regardless of the application domain, both the analysis of existing systems and the creation of new systems benefit extensively from having the system modeled from a conceptual point of view in order to capture its behavioral, structural or semantic characteristics, while abstracting away irrelevant details. Depending on which relevant details are assimilated in the modeling language, modeling tools may support different degrees of domain-specificity. The boundaries of what domain-specific means are as ambiguous as the definition of a domain—it may be a business sector, a paradigm, or a narrow application area. However, some patterns and invariants are recurring across domains and this has led to the emergence of commonly used modeling languages that incorporate such fundamental concepts. This chapter focuses on the metamodeling approach for the hybridization of BPMN, ER, EPC, UML and Petri Nets within a single modeling method identified as FCML, with a proof of concept named Bee-Up implemented in OMiLAB.

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• https://doi.org/10.1007/978-3-319-39417-6_1
• doi:10.1007/978-3-319-39417-6_1

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@inbook{Karagiannis2016,
title = {Fundamental Conceptual Modeling Languages in OMiLAB},
author = {Dimitris Karagiannis and Robert Andrei Buchmann and Patrik Burzynski and Ulrich Reimer and Michael Walch},
editor = {Dimitris Karagiannis and Heinrich C. Mayr and John Mylopoulos},
url = {https://doi.org/10.1007/978-3-319-39417-6_1},
doi = {10.1007/978-3-319-39417-6_1},
isbn = {978-3-319-39417-6},
year  = {2016},
date = {2016-01-01},
booktitle = {Domain-Specific Conceptual Modeling: Concepts, Methods and Tools},
pages = {3–30},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {Regardless of the application domain, both the analysis of existing systems and the creation of new systems benefit extensively from having the system modeled from a conceptual point of view in order to capture its behavioral, structural or semantic characteristics, while abstracting away irrelevant details. Depending on which relevant details are assimilated in the modeling language, modeling tools may support different degrees of domain-specificity. The boundaries of what domain-specific means are as ambiguous as the definition of a domain—it may be a business sector, a paradigm, or a narrow application area. However, some patterns and invariants are recurring across domains and this has led to the emergence of commonly used modeling languages that incorporate such fundamental concepts. This chapter focuses on the metamodeling approach for the hybridization of BPMN, ER, EPC, UML and Petri Nets within a single modeling method identified as FCML, with a proof of concept named Bee-Up implemented in OMiLAB.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}