How to represent and detect contextual identity links in a knowledge base: Application on experimental data in life sciences

How to represent and detect contextual identity links in a knowledge base: Application on experimental data in life sciences

Joe Raad Nathalie Pernelle Fatiha Saïs Juliette Dibie Liliana Ibanescu Stéphane Dervaux  

UMR MIA-PARIS, INRA, AgroParisTech, Université Paris-Saclay Paris, France

LRI, Paris Sud University Orsay, France

Corresponding Author Email: 
{joe.raad,juliette.dibie,liliana.ibanescu,stephane.dervaux}; {nathalie.pernelle,fatiha.sais}
30 June 2018
| Citation



Most of the Linked Data applications currently rely on the use of owl:sameAs for linking ontology instances. However, several studies have noticed multiple misuses of this identity link, which can lead to erroneous statements or inconsistencies. We propose in this paper a new contextual identity link, that could serve as a replacement in linking identical instances in a specified context. To detect these contextual links, we have defined an algorithm named DECIDE, which has been tested on scientific knowledge bases from several INRA projects.  


context, identity links, knowledge base, scientific data

1. Introduction
2. Identité contextuelle
3. DECIDE – Méthode de détection des liens d’identité contextuelle
4. Expérimentations
5. Travaux connexes
6. Conclusion

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