Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/6408
Title: A mapping-based framework for the integration of machine data and information systems
Authors: Kern H.
Stefan F.
Fähnrich K.
Dimitrieski, Vladimir 
Issue Date: 1-Jan-2015
Journal: Proceedings of the 8th IADIS International Conference Information Systems 2015, IS 2015
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.
URI: https://open.uns.ac.rs/handle/123456789/6408
ISBN: 9789898533333
Appears in Collections:FTN Publikacije/Publications

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