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Co-evolution of RDF datasets

 
: Faisal, S.; Endris, K.M.; Shekarpour, S.; Auer, S.; Vidal, M.-E.

:

Bozzon, A.:
Web engineering. 16th International Conference, ICWE 2016 : Lugano, Switzerland, June 6-9, 2016; Proceedings
Cham: Springer International Publishing, 2016 (Lecture Notes in Computer Science 9671)
ISBN: 978-3-319-38790-1 (Print)
ISBN: 978-3-319-38791-8 (Online)
S.225-243
International Conference on Web Engineering (ICWE) <16, 2016, Lugano>
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()

Abstract
Linking Data initiatives have fostered the publication of large number of RDF datasets in the Linked Open Data (LOD) cloud, as well as the development of query processing infrastructures to access these data in a federated fashion. However, different experimental studies have shown that availability of LOD datasets cannot be always ensured, being RDF data replication required for envisioning reliable federated query frameworks. Albeit enhancing data availability, RDF data replication requires synchronization and conflict resolution when replicas and source datasets are allowed to change data over time, i.e., co-evolution management needs to be provided to ensure consistency. In this paper, we tackle the problem of RDF data co-evolution and devise an approach for conflict resolution during co-evolution of RDF datasets. Our proposed approach is property-oriented and allows for exploiting semantics about RDF properties during co-evolution management.

: http://publica.fraunhofer.de/dokumente/N-422526.html