Linked Data Annotation and Fusion driven by Data Quality Evaluation - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Journal Articles Revue des Nouvelles Technologies de l'Information Year : 2015

Linked Data Annotation and Fusion driven by Data Quality Evaluation

Abstract

In this work, we are interested in exploring the problem of data fusion, starting from reconciled datasets whose objects are linked with semantic sameAs relations. We attempt to merge the often conflicting information of these reconciled objects in order to obtain unified representations that only contain the best quality information.
Fichier principal
Vignette du fichier
EGC15.pdf (288.33 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

lirmm-02130310 , version 1 (15-05-2019)

Identifiers

  • HAL Id : lirmm-02130310 , version 1

Cite

Ioanna Giannopoulou, Fatiha Saïs, Rallou Thomopoulos. Linked Data Annotation and Fusion driven by Data Quality Evaluation. Revue des Nouvelles Technologies de l'Information, 2015, EGC 2015, RNTI-E-28, pp.257-262. ⟨lirmm-02130310⟩
161 View
191 Download

Share

More