Description
| Title | An Evolutionary Perspective on Approximate RDF Query Answering |
| Abstract | RDF is increasingly being used to represent large amounts of data on the Web. Current query evaluation strategies for RDF are inspired by databases, assuming perfect answers on finite repositories. In this paper, we present a novel query method based on evolutionary computing, which allows us to handle uncertainty, incompleteness and unsatisfiability, and deal with large datasets, all within a single conceptual framework. Our technique supports approximate answers with anytime behaviour. We present initial results and analyse next steps for improvement. |
Other presentations by Christophe Guéret
| Date | Title |
|---|---|
| 08 October 2007 | |
| 16 June 2008 | An Evolutionary Perspective on Approximate RDF Query Answering |
| 28 September 2009 | Exploring the Web of Data with E-RDF |
| 22 November 2010 | SemanticXO project - a very early preview |
| 19 September 2011 | SemanticXO: how and why putting a triple store on a netbook? |
| 23 September 2013 | Publishing Linked Data without the Web |
| 16 December 2013 | Your next data-viz gear should be a Wii-U |
| 09 September 2013 | Publishing Linked Data without the Web |