Authors:
Tobias Meisen
1
;
Philipp Meisen
2
;
Daniel Schilberg
1
and
Sabina Jeschke
1
Affiliations:
1
RWTH Aachen University, Germany
;
2
Inform GmbH, Germany
Keyword(s):
Application Integration, Data Integration, Simulation Tools, Ontology, Framework.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Coupling and Integrating Heterogeneous Data Sources
;
Data Engineering
;
Databases and Information Systems Integration
;
Engineering Information System
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Legacy Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Society, e-Business and e-Government
;
Software Engineering
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
Because of the increasing complexity of modern production processes, it is necessary to plan these processes virtually before realizing them in a real environment. On the one hand there are specialized simulation tools simulating a specific production technique with exactness close to the real object of the simulation. On the other hand there are simulations which simulate whole production processes, but often do not achieve prediction accuracy comparable to the specialized tools. The simulation of a production process as a whole achieving the needed accuracy is hard to realize. Incompatible file formats, different semantics used to describe the simulated objects and missing data consistency are the main causes of this integration problem. In this paper, a framework is presented that enables the interconnection of simulation tools of production engineering considering the specific knowledge of a certain domain (e.g. material processing). Therefore, an ontology-based integration appro
ach using domain specific knowledge to identify necessary semantic transformations has been realized. The framework provides generic functionality which, if concretized for a domain, enables the system to integrate any domain specific simulation tool in the process.
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