Argumentation-based Explanation of Linked Data Fusion

Fatiha Saïs 1 Rallou Thomopoulos 2, 3 Anderson Carlos Ferreira da Silva 1
3 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This paper deals with redundant data, previously identified by a data linkage step. The question considered is: how to propose a unique representation by merging the identified "duplicates"? More specifically, how to decide, for each data property, which value will be chosen among those describing the "duplicates"? What method should be adopted in order to be able to trace and explain the result to the user in an understandable form? The proposed approach relies both on multi-criteria decision and argumentation, combined with the computation of a quality score.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-02098391
Contributor : Rallou Thomopoulos <>
Submitted on : Friday, April 12, 2019 - 4:01:32 PM
Last modification on : Wednesday, April 17, 2019 - 1:21:34 AM

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Fatiha Saïs, Rallou Thomopoulos, Anderson Carlos Ferreira da Silva. Argumentation-based Explanation of Linked Data Fusion. WETICE: Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, Jun 2018, Paris, France. ⟨10.1109/WETICE.2018.00059⟩. ⟨lirmm-02098391⟩

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