Abstract. We present an approach for scalable long-term preservation of data stored in relational databases (RDBs) as RDF, implemented in the SAQ (Semantic ...
Oct 11, 2013 · We present an approach for scalable long-term preservation of data stored in relational databases (RDBs) as RDF, implemented in the SAQ ...
Jan 1, 2016 · We present an approach for scalable long-term preservation of data stored in relational databases (RDBs) as RDF, implemented in the SAQ ...
We present an approach for scalable long-term preservation of data stored in relational databases (RDBs) as RDF, implemented in the SAQ (Semantic Archive ...
To achieve scalable data preservation and recreation, SAQ uses special query rewriting optimizations for the archival queries. It was experimentally shown that ...
This Thesis addresses how Semantic Web representations, in particular RDF, can enable flexible and scalable preservation, recreation, and querying of ...
Stefanova, S. & Risch, T. (2016). Scalable long-term preservation of relational data through SPARQL queries. Semantic Web, 7(2), 117-137
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Scalable long-term preservation of relational data through SPARQL queries. Authors: Stefanova, Silvia | Risch, Tore. Article Type: Research Article. Abstract ...
* Silvia Stefanova and Tore Risch: Scalable Long-term Preservation of Relational Data through SPRQL Queries, submitted to Semantic Web Journal, 2013. USER.
S.Stefanova and T.Risch: Scalable Long-term Preservation of Relational Data through SPARQL queries, Semantic Web Journal, SWJ, Vol.7, No 2, pp 117-137, 2016.