The role of ontologies and knowledge in Explainable AI-Reference-Cited by-同舟云学术

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The role of ontologies and knowledge in Explainable AI

Published:2024-03-14 Issue: Volume: Page:1-4
ISSN:2210-4968
Container-title:Semantic Web
language:
Short-container-title:SW

Author:

Confalonieri Roberto¹,Kutz Oliver²,Calvanese Diego²³,Alonso-Moral Jose Maria⁴,Zhou Shang-Ming⁵

Affiliation:

1. Department of Mathematics ‘Tullio Levi-Civita’, University of Padua, Padova, Italy

2. KRDB Research Centre for Knowledge and Data, Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy

3. Department of Computing Science, Umeå University, Umeå, Sweden

4. Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

5. Centre for Health Technology, Faculty of Health, University of Plymouth, Plymouth, UK

Publisher

IOS Press

Reference12 articles.

1. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

2. Explanation ontology: A general-purpose, semantic representation for supporting user-centered explanations;Chari;Semantic Web Preprint,2023

3. Separability and its approximations in ontology-based data management;Cima;Semantic Web Preprint,2023

4. A historical perspective of explainable Artificial Intelligence

5. R. Confalonieri, O. Kutz and D. Calvanese (eds), Proceedings of the Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI 2021), IAOA Series, Vol. 2998, CEUR-WS, 2021, Bratislava Knowledge September (BAKS 2021), Bratislava, Slovakia, September 18–19.

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