Formal Ontologies in the Realm of Enterprise Modeling: enterprise model transformation and integration
- Bachelor Thesis Business Information Systems
- Master Thesis Business Information Systems
- Diploma Thesis Business Information Systems
Application of formal ontologies (i.e., a set of logical axioms designed to account for the intended meaning of a vocabulary) in the realm of enterprise modeling (EM) may help to address some challenges that EM is facing. The formal ontologies may provide the knowledge about the domain of discourse, which can become the basis for the model creation and a DSML development; it may contribute to the model understandability and interoperability by providing a shared vocabulary and unambiguous semantics; it may support model-driven development and transformation; it may contribute to the productivity of modeling by providing domain-specific terminology, supporting the consistency/conformance checking, and facilitates reusability. The main benefits from applying formal ontologies in the realm of EM, which distinguish it from other knowledge representation schemas, are: machine reasoning, logic-based schema flexibility and ability to integrate easily a number of data sources. These features are of utmost importance in the enterprise model analysis, transformation and integration.
The main aim of this work is to: investigate the existing approaches to integration of enterprise models created following different modeling approaches/modeling languages; analyze the role a formal ontology can play in this process, point to the strengths and weaknesses, propose the ontology-based integration approach and show its application on the selected use case.
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