Abstract
The Industry 4.0 is a vision that includes connecting more intensively physical systems with their virtual counterparts in computers. This computerization of manufacturing will bring many advantages, including allowing data gathering, integration and analysis in the scale not seen earlier. In this paper we describe our Semantic Big Data Historian that is intended to handle large volumes of heterogeneous data gathered from distributed data sources. We describe the approach and implementation with a special focus on using Semantic Web technologies for integrating the data.
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Obitko, M., Jirkovský, V. (2015). Big Data Semantics in Industry 4.0. In: Mařík, V., Schirrmann, A., Trentesaux, D., Vrba, P. (eds) Industrial Applications of Holonic and Multi-Agent Systems. HoloMAS 2015. Lecture Notes in Computer Science(), vol 9266. Springer, Cham. https://doi.org/10.1007/978-3-319-22867-9_19
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DOI: https://doi.org/10.1007/978-3-319-22867-9_19
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