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Poster communications

RDF data evolution: efficient 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 di↵er-ent versions of DBpedia.
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Poster communications
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https://hal.archives-ouvertes.fr/hal-01476021
Contributor : Nathalie Pernelle <>
Submitted on : Friday, March 3, 2017 - 2:06:31 PM
Last modification on : Wednesday, September 16, 2020 - 5:45:48 PM

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Nathalie Pernelle, Fatiha Saïs, Daniel Mercier, Sujeeban Thuraisamy. RDF data evolution: efficient detection and semantic representation of changes. Semantic Systems - SEMANTiCS2016, Sep 2016, Leipzig, Germany. 4 p., Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016. ⟨10.1145/1235⟩. ⟨hal-01476021⟩

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