Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning

In Process-Oriented Case-Based Reasoning (POCBR), experiential knowledge from previous problem-solving situations is retrieved from a case base to be reused for upcoming problems. The task of retrieval is approached in previous work by using Graph Neural Networks (GNNs) to learn workflow similaritie...

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Hlavní autoři:	Maximilian Hoffmann, Ralph Bergmann
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	LibraryPress@UF 2023-05-01
Edice:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
Témata:	case-based reasoning deep learning process-oriented case-based reasoning learning-to-rank
On-line přístup:	https://journals.flvc.org/FLAIRS/article/view/133039
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