Paper Info
Title
Executing SPARQL queries over Mapped Document Store with 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.
Year
DOI
Venue
2016
10.1145/2993318.2993326
SEMANTICS
Field
DocType
Citations 
SQL,Semi-structured data,Data mining,Information retrieval,Computer science,Linked data,SPARQL,NoSQL,Named graph,Data model,Database,RDF
Conference
0
PageRank 
References 
Authors
0.34
14
2
Name
Order
Citations
PageRank
Jörg Unbehauen1686.85
Michael Martin218418.09