Abstract
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.
Originalsprache | englisch |
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Seiten | 355-358 |
Seitenumfang | 4 |
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 https://iswc2020.semanticweb.org/ |
Konferenz
Konferenz | 19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice |
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Ort | Virtual, Online |
Zeitraum | 1/11/20 → 6/11/20 |
Internetadresse |
ASJC Scopus subject areas
- Allgemeine Computerwissenschaft