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 we present SIB in action on 2 scenarios for the analysis of the Surface Mounting Process (SMT) pipeline.
|Publikationsstatus||Veröffentlicht - Jan 2021|
|Veranstaltung||19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice: ISWC-Posters 2020 - Online, Virtual, Online|
Dauer: 1 Nov 2020 → 6 Nov 2020
|Konferenz||19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice|
|Zeitraum||1/11/20 → 6/11/20|
ASJC Scopus subject areas
- !!Computer Science(all)