DataLift A catalyser for the Web of data Datalift brings raw structured data coming from various formats (relational databases, CSV, XML, ...) to semantic data interlinked on the Web of Data. Datalift is an experimental research project funded by the French national research agency. Its goal is to develop a platform to publish and interlink datasets on the Web of data. Datalift will both publish datasets coming from a network of partners and data providers and propose a set of tools for easing the datasets publication process. A few steps to data heaven

DataLift

My long term research interests are related to concurrent representations of the same situation and the relationships among them. It is thus closely related to semantics, understood as the interpretation of representations with regard to their meaning. I am currently developing research about the exchange of formal knowledge mediated by computers. This covers formally annotated documents, knowledge servers, content-based cooperative work and transformation and alignment of representations (see the Exmo team pages). More specifically we developed, over the past few years, extensive investigations about ontology matching and alignments encompassing the semantics of alignments [Zimmermann 2006b] and its use [Euzenat 2007a, Euzenat 2008e], the software support [David 2011a], matchers [Euzenat 2004c, Locoro 2014a], and evaluation of matchers [Euzenat 2011b, Euzenat 2013a]. Jérôme Euzenat Jérôme Euzenat
François Scharffe
Interview
Raphaël Troncy
Pratique & Recherche
Du RDF
Complémentaire à l'APIE