Description
| Title | "Deep Learning the Semantic Web?" |
| Abstract | Object recognition, text analysis, trend prediction, sentiment analysis, even playing computer games: deep-learning seems to be a big leap forward in the field of AI. At least Google and Facebook pay quite some money to acquire companies that do deep-learning. Or is it just a hype reviving well-known algorithms by faster machines? Artificial neural networks exist for a long time. The goal of this WAI presentation : - an overview of the field and a bit of theoretical background, and some software to play with, - ethical consequences of smart software - a discussion on the use of DeepLearning algorithms in our research domain (e.g. can we learn the Semantic Web?) |
Other presentations by Ronald Siebes
| Date | Title |
|---|---|
| 16 October 2006 | |
| 15 October 2007 | |
| 19 May 2008 | Scalable Discovery of Private Resources |
| 09 February 2009 | RDF management inspired by the unix GIT versioning system. |
| 30 November 2009 | Choosing identifiers for video content inspired by FRBR, and a simple access policy system for your rdf database inspired by Jeremy's warrants. |
| 06 January 2014 | Parademo, a retrospective voting advise platform and organic and dynamic trust network selecting experts that help our politicians in their daily complex decision making processes |
| 29 September 2014 | "Deep Learning the Semantic Web?" |
| 03 October 2016 | Big Data Europe and the seven Horizon2020 challenges |