From Industrial Data to Actionable Knowledge: The SCCH’s Knowledge Graph Tool

Overview We briefly present KG-CAIP (Knowledge Graph for Causal Analysis of Industrial Processes), a tool developed by SCCH within the Horizon Europe TRINEFLEX project (Grant No. 101058174). The tool automatically transforms raw industrial sensor data into interpretable knowledge graphs, making complex process interactions transparent and explainable. Unlike traditional black-box analytics, KG-CAIP focuses on understanding cause–effect... Continue Reading →

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