首页|New Findings from University of Rouen Normandie Describe Advances in Machine Lea rning (Towards counterfactual explanations for ontologies)
New Findings from University of Rouen Normandie Describe Advances in Machine Lea rning (Towards counterfactual explanations for ontologies)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Rouen, France, by NewsRx correspondents, research stated, “Debugging and repairing Web Ontology L anguage (OWL) ontologies has been a key field of research since OWL became a W3C recommendation.” The news correspondents obtained a quote from the research from University of Ro uen Normandie: “One way to understand errors and fix them is through explanation s. These explanations are usually extracted from the reasoner and displayed to t he ontology authors as is. In the meantime, there has been a recent call in the eXplainable AI (XAI) field to use expert knowledge in the form of knowledge grap hs and ontologies. In this paper, a parallel between explanations for machine le arning and for ontologies is drawn. This link enables the adaptation of XAI meth ods to explain ontologies and their entailments. Counterfactual explanations hav e been identified as a good candidate to solve the explainability problem in mac hine learning.”
University of Rouen NormandieRouenFr anceEuropeCyborgsEmerging TechnologiesMachine Learning
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