Inferring same-as facts from Linked Data: an iterative import-by-query approach

Mustafa al-Bakri

Univ. Grenoble Alpes, LIG, France

Monday April 14th, 2014, 14h00

Amphithéatre F107, Inria Grenoble Rhône-Alpes, Montbonnot


In this work we model the problem of data linkage in Linked Data as a reasoning problem on possibly decentralized data. We describe a novel Import-by-Query algorithm that alternates steps of sub-query rewriting and of tailored querying the Linked Data cloud in order to import data as specific as possible for inferring or contradicting given target same-as facts. Experiments conducted on real-world datasets have demonstrated the feasibility of this approach and its usefulness in practice for data linkage and disambiguation.

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