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Enabling linked data publication with the Datalift platform

François Scharffe 1 Ghislain Atemezing 2 Raphaël Troncy 2 Fabien Gandon 3 Serena Villata 3 Bénédicte Bucher 4 Fayçal Hamdi 4 Laurent Bihanic 5 Gabriel Képéklian 5 Franck Cotton 6 Jérôme Euzenat 7 Zhengjie Fan 7 Pierre-Yves Vandenbussche 8 Bernard Vatant 8 
1 TATOO - Fouille de données environnementales
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
4 COGIT - Cartographie et Géomatique
LaSTIG - Laboratoire des Sciences et Technologies de l'Information Géographique
7 EXMO - Computer mediated exchange of structured knowledge
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : As many cities around the world provide access to raw public data along the Open Data movement, many questions arise concerning the accessibility of these data. Various data formats, duplicate identifiers, heterogeneous metadata schema descriptions, and diverse means to access or query the data exist. These factors make it difficult for consumers to reuse and integrate data sources to develop innovative applications. The Semantic Web provides a global solution to these problems by providing languages and protocols for describing and accessing datasets. This paper presents Datalift, a framework and a platform helping to lift raw data sources to semantic interlinked data sources.
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Submitted on : Friday, December 21, 2012 - 2:18:32 PM
Last modification on : Friday, August 5, 2022 - 10:46:41 AM
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  • HAL Id : hal-00768424, version 1


François Scharffe, Ghislain Atemezing, Raphaël Troncy, Fabien Gandon, Serena Villata, et al.. Enabling linked data publication with the Datalift platform. AAAI Workshop on Semantic Cities, Jul 2012, Toronto, ON, Canada. ⟨hal-00768424⟩



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