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- W3116161640 abstract "Abstract In this paper, a new information model for machine learning applications is introduced, which allows for a consistent acquisition and semantic annotation of process data, structural information and domain knowledge from industrial productions systems. The proposed information model is based on Industry 4.0 components and IEC 61360 component descriptions. To model sensor data, components of the OGC SensorThings model such as data streams and observations have been incorporated in this approach. Machine learning models can be integrated into the information model in terms of existing model serving frameworks like PMML or Tensorflowgraph. Based on the proposed information model, a tool chain for automatic knowledge extraction is introduced and the automatic classification of unstructured text is investigated as a particular application case for the proposed tool chain." @default.
- W3116161640 created "2021-01-05" @default.
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- W3116161640 date "2020-12-24" @default.
- W3116161640 modified "2023-10-14" @default.
- W3116161640 title "Information modeling and knowledge extraction for machine learning applications in industrial production systems" @default.
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- W3116161640 doi "https://doi.org/10.1007/978-3-662-62746-4_8" @default.
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