Commenced in January 2007
Paper Count: 31203
A Framework for Semantics Preserving SPARQL-to-SQL Translation
Abstract:The enormous amount of information stored on the web increases from one day to the next, exposing the web currently faced with the inevitable difficulties of research pertinent information that users really want. The problem today is not limited to expanding the size of the information highways, but to design a system for intelligent search. The vast majority of this information is stored in relational databases, which in turn represent a backend for managing RDF data of the semantic web. This problem has motivated us to write this paper in order to establish an effective approach to support semantic transformation algorithm for SPARQL queries to SQL queries, more precisely SPARQL SELECT queries; by adopting this method, the relational database can be questioned easily with SPARQL queries maintaining the same performance.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1108034Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1330
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 J. Rachapalli, V. Khadilkar, M. Kantarcioglu, and B. Thuraisingham, “RETRO: A Framework for Semantics Preserving SQL-to-SPARQL Translation”, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080-3021, USA, 2009.
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