Fusion de données redondantes : une approche explicative
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 in an understandable form to the user? The proposed approach
relies both on multicriteria decision and argumentation.