RDF Modelling and SPARQL Processing of SQL Abstract Syntax Trees - Archive ouverte HAL Access content directly
Conference Papers Year : 2012

RDF Modelling and SPARQL Processing of SQL Abstract Syntax Trees

(1, 2) , (1) , (1) , (2)
1
2

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.
Fichier principal
Vignette du fichier
psw-2012.pdf (242.94 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00759034 , version 1 (29-11-2012)

Identifiers

  • HAL Id : hal-00759034 , version 1

Cite

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⟩
547 View
415 Download

Share

Gmail Facebook Twitter LinkedIn More