In:
Informatik Spektrum, Springer Science and Business Media LLC, Vol. 46, No. 2 ( 2023-04), p. 65-78
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.
Type of Medium:
Online Resource
ISSN:
0170-6012
,
1432-122X
DOI:
10.1007/s00287-022-01513-9
Language:
English
Publisher:
Springer Science and Business Media LLC
Publication Date:
2023
detail.hit.zdb_id:
134234-4
detail.hit.zdb_id:
1459197-2
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