What is it about?
As far as digital repositories are concerned, numerous benefits emerge from the disposal of their contents as Linked Open Data (LOD). This leads more and more repositories towards this direction. However, several factors need to be taken into account in doing so, among which is whether the transition needs to be materialized in real-time or in asynchronous time intervals. In this paper we provide the problem framework in the context of digital repositories, we discuss the benefits and drawbacks of both approaches and draw our conclusions after evaluating a set of performance measurements. Overall, we argue that in contexts with infrequent data updates, as is the case with digital repositories, persistent RDF views are more efficient than real-time SPARQL-to-SQL rewriting systems in terms of query response times, especially when expensive SQL queries are involved.
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This page is a summary of: Transient and Persistent RDF Views over Relational Databases in the Context of Digital Repositories, January 2013, Springer Science + Business Media,
DOI: 10.1007/978-3-319-03437-9_33.
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Resources
Slides
Conference presentation slides.
Datasets, software, mapping files and queries in this paper
Software, RDF datasets, SQL dumps, R2RML mapping files, SPARQL and SQL queries, created, used, and discussed in this paper.
Fulltext
Authors' post-peer review version.
The r2rml-parser tool
The r2rml-parser tool is used in the experiments in this paper. It is a tool that can export relational database contents as RDF graphs, based on an R2RML mapping document. The tool is open-source and written in java. The source code, executables, and more details are available in the project page at github.
Contributors
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