|
Title:
|
A MAPPING-BASED FRAMEWORK FOR THE INTEGRATION OF MACHINE DATA AND INFORMATION SYSTEMS |
|
Author(s):
|
Heiko Kern, Fred Stefan, Klaus-Peter Fähnrich, Vladimir Dimitrieski |
|
ISBN:
|
978-989-8533-33-3 |
|
Editors:
|
Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
|
Year:
|
2015 |
|
Edition:
|
Single |
|
Keywords:
|
Integration, Mapping, Transformation, Automation |
|
Type:
|
Full Paper |
|
First Page:
|
113 |
|
Last Page:
|
120 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
The integration of information systems and machines on the shop floor level is a key factor in order to achieve a continuous information flow in production. Driven by the Internet of Things or the high-tech strategy Industry 4.0, the efficient integration plays in this domain an increasing role. Despite powerful technologies, the integration is a challenging and labor-intensive task. In this paper, we address this problem and present a novel approach for a structured, automated and reusable integration of information systems and machines. The approach is realized as a framework which allows the development of transformations between different data schemas. The framework consists of a declarative mapping language with a graphical notation and an intelligent solution for connecting different systems. In this paper, we give an overview of the framework components and demonstrate the approach in a practical use case. |
|
|
|
|
|
|
