Adaptive Semantic Data Management Techniques for Federations of Endpoints

Authors: 
Maria-Esther Vidal (Universidad Simón Bolívar), Edna Ruckhaus (Universidad Simón Bolívar), Maribel Acosta (KIT), Cosmin Basca (University of Zurich) and Gabriela Montoya (Universidad Simón Bolívar)
Year: 
2012
Presentation Date: 
Sunday, 27 May, 2012
Presented at: 
9th Extended Semantic Web Conference (ESWC 2012)

The tutorial will be presented on May 27 2012 at the 9th Extended Semantic Web Conference (ESWC 2012).

Short description of the tutorial:

The tutorial describes the traditional optimize-then-execute paradigm implemented in existing RDF engines and its main drawbacks when a large volume of data needs to be remotely accessed. As a solution to overcome limitations of current query processing approaches, we will present existing adaptive query processing techniques defined in the context of database management systems, and their applicability to the Semantic Web. Also, we will describe current solutions that have been proposed in the context of the Semantic Web to access remote data. The target audience includes researchers and practitioners that develop or use query engines to consume Linked and Big Data through SPARQL endpoints. The participants will learn limitations of existing RDF query engines and how current techniques can be extended to access remote data from Linked Data sets, and hide delays caused by unpredictable data transfers and datasets availability. A hands-on session will allow attendees to evaluate the performance and robustness of existing approaches.