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- W4313304242 abstract "Abstract In this article, selected new directions in knowledge-based artificial intelligence (AI) and machine learning (ML) are presented: ontology development methodologies and tools, automated engineering of WordNets, innovations in semantic search, and automated machine learning (AutoML). Knowledge-based AI and ML complement each other ideally, as their strengths compensate for the weaknesses of the other discipline. This is demonstrated via selected corporate use cases: anomaly detection, efficient modeling of supply networks, circular economy, and semantic enrichment of technical information." @default.
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- W4313304242 date "2022-12-30" @default.
- W4313304242 modified "2023-09-26" @default.
- W4313304242 title "New directions for applied knowledge-based AI and machine learning" @default.
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- W4313304242 doi "https://doi.org/10.1007/s00287-022-01513-9" @default.
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