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RDF Modelling and SPARQL Processing of SQL Abstract Syntax Trees

Corentin Follenfant 1, 2, * Olivier Corby 1 Fabien Gandon 1 David Trastour 2
* Corresponding author
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Most enterprise systems rely on relational databases, and therefore SQL queries, to populate dynamic documents such as business intelligence reports, dashboards or spreadsheets. These queries represent metadata about the documents, thus they can feed information retrieval systems such as recommender systems or search engines. In this paper we propose to automatically annotate documents with structured representations of their SQL queries expressed with RDF graphs. We show that SPARQL is a natural language to query these SQL queries, i.e. to perform meta-querying, and discuss challenges that arise from this approach.
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Submitted on : Thursday, November 29, 2012 - 5:48:23 PM
Last modification on : Thursday, January 20, 2022 - 4:13:27 PM
Long-term archiving on: : Saturday, December 17, 2016 - 5:52:16 PM


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  • HAL Id : hal-00759034, version 1



Corentin Follenfant, Olivier Corby, Fabien Gandon, David Trastour. RDF Modelling and SPARQL Processing of SQL Abstract Syntax Trees. PSW - 1st Workshop on Programming the Semantic Web, Nov 2012, Boston, United States. ⟨hal-00759034⟩



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