D2RQ – Treating Non-RDF Databases as Virtual RDF Graphs
D2RQ – Treating Non-RDF Databases as Virtual RDF Graphs | |
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D2RQ – Treating Non-RDF Databases as Virtual RDF Graphs
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Bibliographical Metadata | |
Year: | 2004 |
Authors: | Christian Bizer, Andy Seaborne |
Venue | ISWC |
Content Metadata | |
Problem: | Transforming Relational Databases into Semantic Web |
Approach: | No data available now. |
Implementation: | D2RQ |
Evaluation: | Performance Analysis |
Abstract
As Semantic Web technologies are getting mature, there is a growing need for RDF applications to access the content of huge, live, non-RDF, legacy databases without having to replicate the whole database into RDF. In this poster we present D2RQ, a declarative language to describe mappings between application-specific relational database schemata and RDF-S/OWL ontologies. D2RQ allows RDF applications to treat non-RDF relational data bases as virtual RDF graphs, which can be queried using RDQL.Property "Has abstract" (as page type) with input value "As Semantic Web technologies are getting mature, there is a growing need for RDF applications to access the content of huge, live, non-RDF, legacy databases without having to replicate the whole database into RDF. In this poster we present D2RQ, a declarative language to describe mappings between application-specific relational database schemata and RDF-S/OWL ontologies. D2RQ allows RDF applications to treat non-RDF relational data bases as virtual RDF graphs, which can be queried using RDQL." contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process.
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Approach
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Implementations
Download-page: https://github.com/d2rq/d2rq
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Data Catalogue: {{{Catalogue}}}Property "Has DataCatalouge" (as page type) with input value "{{{Catalogue}}}" contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process.
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Programming Language: Java
Version: 0.8.1
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Evaluation
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Benchmark used: http://dblp.uni-trier.de/
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