Scalable long-term preservation of relational data through SPARQL queries

Abstract. We present an approach for scalable long-term archival of data stored in relational databases (RDBs) as RDF, implemented in the SAQ (Semantic Archive and Query) system. The proposed approach is suitable for archiving scientific data used in scientific publications where it is desirable to preserve only parts of an RDB, e.g. only data about a specific set of experimental artefacts in the database. With the approach, long-term preservation as RDF of selected parts of a database is specified as an archival query in an extended SPARQL dialect, A-SPARQL. The query processing is based on automatically generating an RDF view of a relational database to archive, called the RD-view. A-SPARQL provides flexible selection of data to be archived in terms of a SPARQL-like query to the RD-view. The result of an archival query is a data archive file containing the RDF-triples representing the relational data content to be preserved. The system also generates a schema archive file where suffi...

• Type: Journal
• Year: 2016
• Where: SEMWEB
• Authors: Silvia Stefanova, Tore Risch
• Keywords: Internet Technology, SEMWEB 2016