Skip to main content

Research Repository

Advanced Search

Conceptual modelling of explanation experiences through the iSeeonto ontology.

Caro-Martínez, Marta; Wijekoon, Anjana; Recio-García, Juan A.; Corsar, David; Nkisi-Orji, Ikechukwu

Authors

Marta Caro-Martínez

Juan A. Recio-García



Contributors

Pascal Reuss
Editor

Jakob Schönborn
Editor

Abstract

Explainable Artificial Intelligence is a big research field required in many situations where we need to understand Artificial Intelligence behaviour. However, each explanation need is unique which makes it difficult to apply explanation techniques and solutions that are already implemented when faced with a new problem. Therefore, the task to implement an explanation system can be very challenging because we need to take the AI model into account, user's needs and goals, available data, suitable explainers, etc. In this work, we propose a formal model to define and orchestrate all the elements involved in an explanation system, and make a novel contribution regarding the formalisation of this model as the iSeeOnto ontology. This ontology not only enables the conceptualisation of a wide range of explanation systems, but also supports the application of Case-Based Reasoning as a knowledge transfer approach that reuses previous explanation experiences from unrelated domains. To demonstrate the suitability of the proposed model, we present an exhaustive validation by classifying reference explanation systems found in the literature into the iSeeOnto ontology.

Citation

CARO-MARTÍNEZ, M., WIJEKOON, A., RECIO-GARCÍA, J.A., CORSAR, D. and NKISI-ORJI, I. 2022. Conceptual modelling of explanation experiences through the iSeeonto ontology. In Reuss, P. and Schönborn, J. (eds.) Workshop proceedings of the 30th International conference on case-based reasoning (ICCBR-WS 2022), 12-15 September 2022, Nancy, France. CEUR workshop proceedings, 3389. Aachen: CEUR-WS [online], pages 117-128. Available from: https://ceur-ws.org/Vol-3389/ICCBR_2022_Workshop_paper_86.pdf

Conference Name Workshops of the 30th International conference on case-based reasoning (ICCBR-WS 2022)
Conference Location Nancy, France
Start Date Sep 12, 2022
End Date Sep 15, 2022
Acceptance Date Jul 22, 2022
Online Publication Date May 11, 2023
Publication Date May 11, 2023
Deposit Date Jun 2, 2023
Publicly Available Date Mar 28, 2024
Journal CEUR Workshop Proceedings
Print ISSN 1613-0073
Publisher CEUR Workshop Proceedings
Pages 117-128
Series Title CEUR workshop proceedings
Series Number 3389
Series ISSN 1613-0073
Keywords XAI; Ontology; Conceptual model; CBR
Public URL https://rgu-repository.worktribe.com/output/1977681
Publisher URL https://ceur-ws.org/Vol-3389/ICCBR_2022_Workshop_paper_86.pdf

Files





You might also like



Downloadable Citations