Please use this identifier to cite or link to this item:
http://hdl.handle.net/11144/4317
Title: | Computing Changesets for RDF Views of Relational Data |
Authors: | Vidal, Vânia Arruda, Narciso Cruz, Matheus Casanova, Marco Brito, Carlos Pequeno, Valéria |
Keywords: | RDF view View Maintenance Linked Data Relational database |
Issue Date: | May-2017 |
Publisher: | CEUR-Ws |
Citation: | Vânia Maria P. Vidal, Narciso Moura Arruda Jr., Matheus Cruz, Marco Antonio Casanova, Carlos Eduardo Brito, Valéria Magalhães Pequeno: Computing Changesets for RDF Views of Relational Data. MEPDaW/LDQ@ESWC 2017: 43-58 |
Abstract: | The Linked Data (LD) initiative fostered the publication of a large number of relational databases in the Linked Open Data (LOD) cloud. A general and flexible way of publishing relational data in RDF format is to create an RDF view of the underlying relational data (RDB-RDF view). An RDB-RDF view can be materialized to improve query performance and data availability. However, an RDB-RDF view must be continuously maintained to reflect dynamic updates over the relational database. The contents of an RDB-RDF view, published on the LOD cloud, can also be fully or partially replicated by other LD applications to improve their efficiency. Thus, updates on an RDB-RDF view must be propagated to maintain other LD application views. This paper proposes a framework for the live synchronization of an RDB-RDF view. 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 paper also describes a strategy for automatically generating, based on a set of mappings, the rules for computing the correct changesets for an RDB-RDF view. Finally, it suggests an architecture and describes an implementation and experiments to validate the proposed approach. |
Peer Reviewed: | yes |
URI: | http://hdl.handle.net/11144/4317 |
Appears in Collections: | AUTONOMA TECHLAB - Artigos/Papers |
Files in This Item:
File | Description | Size | Format | |
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MEPDaW-FINAL.pdf | 1,39 MB | Adobe PDF | View/Open |
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