Enabling Linked Data Publication with the Datalift Platform

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

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.