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Linked Data Annotation and Fusion driven by Data Quality Evaluation
Acte de colloque   Open Access

Linked Data Annotation and Fusion driven by Data Quality Evaluation

Ioanna Giannopoulou, Fatiha Saïs et Rallou Thomopoulos
15èmes Journées Francophones Extraction et Gestion des Connaissances, Vol.RNTI-E-28
Extraction et Getsion des Connaissances, EGC'15
EGC: Extraction et Gestion des Connaissances (Luxembourg, Luxembourg, 27/01/2015–30/01/2015)
01/2015

Résumé

In this work, we are interested in exploring the problem of \emph{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.

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