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[PHS19] Interlinking RDF-based datasets: A structure-based approach

Conférence Internationale avec comité de lecture : 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2019), September 2019, pp.11, Budapest, Hungary,

Mots clés: Linked Open Data, Identity link discovery, OWL

Résumé: With an increase in the number of Linked Open Data datasets, insufficient interlinking quality can lead to a decrease in overall data quality. Therefore, it is necessary to keep the interlinking quality as high as possible. One of the main ways to link datasets is to use owl:sameAs links, i.e. to indicate that two things are the same. But with its strict semantics, there is a lot of misuse of owl:sameAs in the wild. Indeed, identity is often relative and depends on the context of use. We therefore propose an approach that enables considering the characteristics of involved datasets to interlink datasets thanks to owl:sameAs statements. The experimental results performed on real-world datasets show that the proposed approach is promising.

BibTeX

@inproceedings {
PHS19,
title="{Interlinking RDF-based datasets: A structure-based approach}",
author=" P. Paris and F. Hamdi and S. Si-Said Cherfi ",
booktitle="{23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2019)}",
year=2019,
month="September",
pages="11",
address="Budapest, Hungary",
}