Optimizing SPARQL querying over pre-existing non-RDF data sources via an object-oriented approach

Presented at: 4th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS2008)

by Walter Corno, Francesco Corcoglioniti, Irene Celino, Emanuele Della Valle

We present our approach to facilitate SPARQL queries over pre-existing non-RDF data sources and SPOON (SParql to Object Oriented eNgine), the prototypical implementation of our proposal. We suggest the use of an object-oriented abstraction, which can be automatically mapped and translated into an ontological one, to wrap data sources; this approach, on the one hand, is very straightforward for data managers without a deep understanding of Semantic Web technologies and standards and, on the other hand, takes advantage of consolidated technologies and tools (like object-relational mapping, ORM) to deal with different types of data sources. In this paper, we introduce the theoretical foundations of our solution, and we show the results of our preliminary evaluation experience, conducted by comparing SPOON with alternative methods, which proves the benefits of our approach.

Keywords: SPARQL

Resource URI on the dog food server: http://data.semanticweb.org/workshop/ssws/2008/paper/main/5

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