Towards Knowledge Graphs for Industrial End-To-End Data Integration: Technologies, Architectures and Potentials

Sjarov M, Franke J (2021)

Publication Type: Conference contribution, Original article

Publication year: 2021

Original Authors: M. Sjarov, J. Franke

Publisher: Springer Link

Pages Range: 545-553

Event location: Dresden DE

DOI: 10.1007/978-3-030-78424-9_60

Abstract

Knowledge Graphs can be characterized as a set of semantically linked information artifacts. One of their possible applications is to enable the integration of heterogeneous data sources: A task becoming increasingly important within industry to obtain end-to-end transparency for complex process chains. There, they can further serve the data for automated machine learning algorithms to operate on. This paper at first elaborates on the definition and characteristics of Knowledge Graphs and data integration. Then, the underlying semantic architectures as well as the corresponding information technology standards are collected. Additionally, first industrial applications in the context of Knowledge Graph-based data integration are presented. The insights are compared with an exemplary custom implementation. Lastly, the findings are assessed for their potential to enable end-to-end data integration and furthermore to provide the basis for future machine learning applications to operate on.

Authors with CRIS profile

Martin Sjarov Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

How to cite

APA:

Sjarov, M., & Franke, J. (2021). Towards Knowledge Graphs for Industrial End-To-End Data Integration: Technologies, Architectures and Potentials. In Bernd-Arno Behrens, Alexander Brosius, Welf-Guntram Drossel, Wolfgang Hintze, Steffen Ihlenfeldt, Peter Nyhuis (Eds.), Proceedings of the 11th Congress of the German Academic Association for Production Technology (WGP) (pp. 545-553). Dresden, DE: Springer Link.

MLA:

Sjarov, Martin, and Jörg Franke. "Towards Knowledge Graphs for Industrial End-To-End Data Integration: Technologies, Architectures and Potentials." Proceedings of the 11th Congress of the German Academic Association for Production Technology (WGP), Dresden Ed. Bernd-Arno Behrens, Alexander Brosius, Welf-Guntram Drossel, Wolfgang Hintze, Steffen Ihlenfeldt, Peter Nyhuis, Springer Link, 2021. 545-553.

BibTeX: Download