Towards Ontology-based Explainable Classification of Rare Events

Abstract : Rare events (e.g. major floods, violent conflicts) are events that have potentially widespread and/or disastrous impact on society. The overall goal is to build a framework capable to classify, predict and explain such rare events. To do so, we envisage the usage of a mixture of sub-symbolic Machine Learning (ML) and Ontology-based Statistical Relatio-nal Learning (OSRL) techniques to generate rare events classifiers and predictors, which additionally may be mapped into natural language to ease human interpretability of the decision process.
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https://hal.archives-ouvertes.fr/hal-02104520
Contributor : Umberto Straccia <>
Submitted on : Friday, April 19, 2019 - 3:32:19 PM
Last modification on : Tuesday, May 14, 2019 - 9:58:49 AM

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  • HAL Id : hal-02104520, version 1

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Franco Cardillo, Umberto Straccia. Towards Ontology-based Explainable Classification of Rare Events. 2019. ⟨hal-02104520⟩

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