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Title: Framework for Live Synchronization of RDF Views of Relational Data
Authors: Vidal, Vânia
Arruda, Narciso
Cruz, Matheus
Casanova, Marco
Pequeno, Valéria
Darin, Ticianne
Keywords: RDF view
View maintenance
Linked Data
Relational database
Issue Date: May-2017
Publisher: Springer, Cham
Citation: Vidal V.M.P., Arruda N., Cruz M., Casanova M.A., Pequeno V.M., Darin T. (2017) Framework for Live Synchronization of RDF Views of Relational Data. In: Blomqvist E., Hose K., Paulheim H., Ławrynowicz A., Ciravegna F., Hartig O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science, vol 10577. Springer, Cham
Abstract: This Demo presents a framework for the live synchronization of an RDF view defined on top of relational database. In the proposed framework, rules are responsible for computing and publishing the changeset required for the RDB-RDF view to stay synchronized with the relational database. The computed changesets are then used for the incremental maintenance of the RDB_RDF views as well as application views. The Demo is based on the LinkedBrainz Live tool, developed to validate the proposed framework.
Peer Reviewed: yes
metadata.dc.identifier.doi: 10.1007/978-3-319-70407-4_29
ISBN: 978-3-319-70407-4
Appears in Collections:AUTONOMA TECHLAB - Artigos/Papers

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