Serving Bosch Production Data as Virtual KGs

Elem Guzel Kalayci, Irlán Grangel-González, Felix Loesch, Guohui Xiao, Anees Mehdi, Evgeny Kharlamov, and Diego Calvanese

Proc. of the 19th Int. Semantic Web Conf., Demos & Industry Track (ISWC 2020 DI). Volume 2721 of CEUR Workshop Proceedings, http://ceur-ws.org/. 2020.

Analyses of manufacturing processes is vital for effective and efficient manufacturing. In complex industrial settings, such analyses should account for data that comes from many different and highly heterogeneous machines, and thus are affected by the data integration challenge. In this work, we show how this challenge can be addressed with semantics using Virtual Knowledge Graphs. For this purpose, we propose the SIB Framework, in which we semantically integrate Bosch manufacturing data. In this demo we present SIB in action on 2 scenarios for the analysis of the Surface Mounting Process (SMT) pipeline.


@inproceedings{ISWC-2020-DI,
   title = "Serving Bosch Production Data as Virtual KGs",
   year = "2020",
   author = "Elem Guzel Kalayci and Irlán Grangel-González
and Felix Loesch and Guohui Xiao and Anees Mehdi and Evgeny Kharlamov
and Diego Calvanese",
   booktitle = "Proc. of the 19th Int. Semantic Web Conf., Demos & Industry
Track (ISWC 2020 DI)",
   pages = "354--358",
   volume = "2721",
   series = "CEUR Workshop Proceedings, http://ceur-ws.org/",
}
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