Explanation Ontology: A Model of Explanations for User-Centered AI

Explanation Ontology: A Model of Explanations for User-Centered AI

International Workshop on the Semantic Web (SW), 2020

4 October 2020

Oshani Seneviratne

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Papers citing "Explanation Ontology: A Model of Explanations for User-Centered AI"

16 / 16 papers shown

Title
Onto-Epistemological Analysis of AI Explanations Martina Mattioli Eike Petersen Aasa Feragen Marcello Pelillo Siavash Bigdeli 156 0 0 03 Oct 2025
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation Tomas Bueno Momcilovic Beat Buesser Giulio Zizzo Mark Purcell Tomas Bueno Momcilovic AAML 102 3 0 10 Oct 2024
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research DirectionsRequirements Engineering (RE), 2024 Umm-e- Habiba Markus Haug Justus Bogner Stefan Wagner 122 13 0 11 Sep 2024
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI A. Wijekoon D. Corsar Nirmalie Wiratunga Kyle Martin Pedram Salimi 201 2 0 16 May 2024
Modeling the Quality of Dialogical Explanations Milad Alshomary Felix Lange Meisam Booshehri Meghdut Sengupta Philipp Cimiano Henning Wachsmuth 156 3 0 01 Mar 2024
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination Luis-Daniel Ibánez J. Domingue Sabrina Kirrane Oshani Seneviratne Aisling Third Maria-Esther Vidal 136 3 0 30 Oct 2023
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities Jiaoyan Chen Hang Dong Janna Hastings Ernesto Jiménez-Ruiz Vanessa Lopez Pierre Monnin Catia Pesquita Petr vSkoda Valentina A. M. Tamma 325 17 0 29 Sep 2023
We, Vertiport 6, are temporarily closed: Interactional Ontological Methods for Changing the Destination Seung-Woo Woo Jeongseok Kim Kangjin Kim 79 1 0 07 Jul 2023
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions Gennie Mansi Mark O. Riedl 119 7 0 10 May 2023
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes Shruthi Chari Prasanth Acharya Daniel Gruen Olivia R. Zhang Elif Eyigoz ... Oshani Seneviratne Fernando Jose Suarez Saiz Pablo Meyer Prithwish Chakraborty D. McGuinness 160 23 0 11 Feb 2023
Knowledge-based XAI through CBR: There is more to explanations than models can tell Rosina O. Weber Manil Shrestha Adam J. Johs 111 4 0 23 Aug 2021
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case Shruthi Chari Prithwish Chakraborty Mohamed F. Ghalwash Oshani Seneviratne Elif Eyigoz Daniel Gruen Fernando Jose Suarez Saiz Ching-Hua Chen Pablo Meyer Rojas D. McGuinness 108 1 0 06 Jul 2021
Semantic Modeling for Food Recommendation Explanations Ishita Padhiar Oshani Seneviratne Shruthi Chari Daniel Gruen D. McGuinness 220 15 0 04 May 2021
Principles of Explanation in Human-AI Systems Shane T. Mueller Elizabeth S. Veinott R. Hoffman Gary Klein Lamia Alam T. Mamun W. Clancey XAI 128 66 0 09 Feb 2021
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?IEEE Internet Computing (IC), 2020 Manas Gaur Keyur Faldu A. Sheth 317 127 0 16 Oct 2020
Explanation Ontology in Action: A Clinical Use-CaseInternational Workshop on the Semantic Web (SW), 2020 Shruthi Chari Oshani Seneviratne Daniel Gruen Morgan Foreman Amar K. Das D. McGuinness 71 1 0 04 Oct 2020