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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 ...
This Thesis addresses how Semantic Web representations, in particular RDF, can enable flexible and scalable preservation, recreation, and querying of ...
Publications (6 of 6) Show all publications. Stefanova, S. & Risch, T. (2016). Scalable long-term preservation of relational data through SPARQL queries.
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Scalable long-term preservation of relational data through SPARQL queries. Authors: Stefanova, Silvia | Risch, Tore. Article Type: Research Article. Abstract ...
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.
This Thesis addresses how Semantic Web representations, in particular RDF, can enable flexible and scalable preservation, recreation, and querying of ...