Discovering keys in RDF/OWL dataset with KD2R

Abstract : KD2R allows the automatic discovery of composite key constraints in RDF data sources that conform to a given ontol-ogy. We consider data sources for which the Unique Name Assumption is fulfilled. KD2R allows this discovery without having to scan all the data. Indeed, the proposed system looks for maximal non keys and derives minimal keys from this set of non keys. KD2R has been tested on several datasets available on the web of data and it has obtained promising results when the discovered keys are used to link data. In the demo, we will demonstrate the functionality of our tool and we will show on several datasets that the keys can be used in a datalinking tool.
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Communication dans un congrès
In the proceedings of the 2nd International workshop on Open Data (WOD 2013), Jun 2013, Paris, France. 2013, 〈10.1145/2500410.2500419〉
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Danai Symeonidou, Nathalie Pernelle, Fatiha Sais. Discovering keys in RDF/OWL dataset with KD2R. In the proceedings of the 2nd International workshop on Open Data (WOD 2013), Jun 2013, Paris, France. 2013, 〈10.1145/2500410.2500419〉. 〈hal-01276594〉

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