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2023
Journal Article
Titel
New directions for applied knowledge-based AI and machine learning
Titel Supplements
Selected results of the 2022 Dagstuhl Workshop on Applied Machine Intelligence
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.
Author(s)