RDF data evolution: automatic detection and semantic representation of changes

Abstract

Many RDF data sources are constantly changing for both data and vocabulary (ontology) levels. Many integration tasks are impacted by these changes. In this context, it is important to develop approaches to detect and represent these changes. Many studies have focused on the detection, the representation and the management of changes at the ontology level. In this paper, we present an approach which allows to detect and represent elementary and complex changes that can be detected when we focus only on the data level. A first experiment was conducted on different versions of DBpedia. CCS Concepts •Information systems → Information integration;

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Cite this paper

@inproceedings{Pernelle2016RDFDE, title={RDF data evolution: automatic detection and semantic representation of changes}, author={Nathalie Pernelle and Fatiha Sa{\"{i}s and Daniel Mercier and Sujeeban Thuraisamy}, booktitle={SEMANTiCS}, year={2016} }