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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 ...
To achieve scalable data preservation and recreation, SAQ uses special query rewriting optimizations for the archival queries. It was experimentally shown that ...
Stefanova, S. & Risch, T. (2016). Scalable long-term preservation of relational data through SPARQL queries. Semantic Web, 7(2), 117-137Stefanova, S.
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Scalable long-term preservation of relational data through SPARQL queries ... Abstract: We present an approach for scalable long-term preservation of data ...
* 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.