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The « Warm Rules » project

The « Warm Rules » project

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Chapo
Gradual Causal Rules Detection in Knowledge Graphs exploiting Temporal Relations, Contextual Identity Links and Statistical Methods: application to Plant Development in Climatic Warming Preoccupation.
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The project
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Warm Rules project aims at developing an innovative approach to detect gradual causal rules in knowledge graphs relying on temporal relations, contextual identity links and statistical methods. This project will be applied on knowledge graphs that we will build for two distinct use cases dealing with climatic warming preoccupation. In order to contribute to this very challenging environmental concern, the research question of organisms’ adaptation to climate change will be addressed in a maize use case. Moreover, a rice use case will be used to evaluate the generality of the gradual causal rules detection approach and validate its results.

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