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Inferring Same-as Facts from Linked Data: An Iterative Import-by-Query Approach
Abstract : In this paper 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 a real-world dataset have demonstrated the feasibility of this approach and its usefulness in practice for data linkage and disambiguation.
Cited literature [17 references]
https://hal.inria.fr/hal-01113463
Contributor : Manuel Atencia Arcas <>
Submitted on : Thursday, February 5, 2015 - 3:03:45 PM
Last modification on : Friday, July 3, 2020 - 9:45:50 AM
Document(s) archivé(s) le : Wednesday, May 6, 2015 - 10:25:15 AM
Contributor : Manuel Atencia Arcas <>
Submitted on : Thursday, February 5, 2015 - 3:03:45 PM
Last modification on : Friday, July 3, 2020 - 9:45:50 AM
Document(s) archivé(s) le : Wednesday, May 6, 2015 - 10:25:15 AM
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