![]() ![]() Our showcase scenario employs the Berlin SPARQL Benchmark (BSBM) with different adaptions to a document data model. Further, duplicate data in the document store is used to reduce the number of joins and custom optimizations are introduced. SparqlMapM is an extension to our SPARQL-to-SQL rewriter SparqlMap that performs a (partial) transformation of SPARQL queries by using a relational abstraction over a document store. With SparqlMap-M we show how dynamic SPARQL access to non-relational data can be achieved. While recent efforts aim at expressing transformations of such data models into RDF in a standardized manner, there is a lack of approaches which facilitate SPARQL execution over mapped non-relational data sources. Exposing this structured data as Linked Data is currently inhibited by a lack of standards as well as tools and requires the implementation of custom solutions. Executing SPARQL queries over Mapped Document Store with SparqlMap-M Executing SPARQL queries over Mapped Document Store with SparqlMap-MĮxecuting SPARQL queries over Mapped Document Stores with SparqlMap-M Jörg Unbehauen University of Leipzig Augustusplatz 11 04109 Leipzig, Germany Michael Martin University of Leipzig Augustusplatz 11 04109 Leipzig, Germany ABSTRACT With the increasing adoption of NoSQL data base systems like MongoDB or CouchDB more and more applications store structured data according to a non-relational, document oriented model.
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