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Conference Papers Year : 2015

Linked Data Annotation and Fusion driven by Data Quality Evaluation

Abstract

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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Dates and versions

lirmm-01097737 , version 1 (15-05-2019)

Identifiers

  • HAL Id : lirmm-01097737 , version 1
  • PRODINRA : 313566

Cite

Ioanna Giannopoulou, Fatiha Saïs, Rallou Thomopoulos. Linked Data Annotation and Fusion driven by Data Quality Evaluation. EGC: Extraction et Gestion des Connaissances, Institut Français du Luxembourg. Luxembourg, LUX., Jan 2015, Luxembourg, Luxembourg. 493 p. ⟨lirmm-01097737⟩
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