Enabling linked data publication with the datalift platform

François Scharffe, Ghislain Atemezing, Raphaël Troncy, Fabien Gandon, Serena Villata, Bénédicte Bucher, Fayçal Hamdi, Laurent Bihanic, Gabriel Képéklian, Franck Cotton, Jérôme Euzenat, Zhengjie Fan, Pierre Yves Vandenbussche, Bernard Vatant

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

79 Scopus citations

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.

Original languageEnglish
Title of host publicationSemantic Cities - Papers from the 2012 AAAI Workshop, Technical Report
Pages25-30
Number of pages6
StatePublished - 2012
Externally publishedYes
Event2012 AAAI Workshop - Toronto, ON, Canada
Duration: Jul 23 2012Jul 23 2012

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-12-13

Conference

Conference2012 AAAI Workshop
Country/TerritoryCanada
CityToronto, ON
Period07/23/1207/23/12

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