%0 Conference Paper %1 unbehauen-semantics-2016-sparqlmap-m %A Unbehauen, Jörg %A Martin, Michael %B 12th International Conference on Semantic Systems Proceedings (SEMANTiCS 2016) %C Leipzig, Germany %D 2016 %K 2016 es group_aksw iis leds martin peer-reviewed sparqlmap unbehauen %T Executing SPARQL queries over Mapped Document Stores with SparqlMap-M %X 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. 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. 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. With SparqlMap-M we show how dynamic SPARQL access to non-relational data can be achieved. SparqlMap-M 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. Further, duplicate data in the document store is used to reduce the number of joins and custom optimizations are introduced. Our showcase scenario employs the Berlin SPARQL Benchmark (BSBM) with different adaptions to a document data model. We use this scenario to demonstrate the viability of our approach and compare it to different MongoDB setups and native SQL.

@inproceedings{unbehauen-semantics-2016-sparqlmap-m, 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. 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. 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. With SparqlMap-M we show how dynamic SPARQL access to non-relational data can be achieved. SparqlMap-M 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. Further, duplicate data in the document store is used to reduce the number of joins and custom optimizations are introduced. Our showcase scenario employs the Berlin SPARQL Benchmark (BSBM) with different adaptions to a document data model. We use this scenario to demonstrate the viability of our approach and compare it to different MongoDB setups and native SQL.}, added-at = {2024-11-01T19:15:27.000+0100}, address = {Leipzig, Germany}, author = {Unbehauen, J{\"o}rg and Martin, Michael}, bdsk-url-1 = {http://svn.aksw.org/papers/2012/SPARQLComponent/JIST_SparqlMap/public.pdf}, biburl = {https://www.bibsonomy.org/bibtex/24d7bd181e26bee2213ba5913029b6c55/aksw}, booktitle = {12th International Conference on Semantic Systems Proceedings (SEMANTiCS 2016)}, date-modified = {2012-12-02 12:54:26 +0000}, interhash = {35a2072e84104338717489d5172b86cb}, intrahash = {4d7bd181e26bee2213ba5913029b6c55}, keywords = {2016 es group_aksw iis leds martin peer-reviewed sparqlmap unbehauen}, month = sep, series = {SEMANTiCS '16}, timestamp = {2024-11-01T19:15:27.000+0100}, title = {Executing SPARQL queries over Mapped Document Stores with SparqlMap-M}, year = 2016 }