I should have realized the danger of stepping into the Wikipedia morass, and the comments on today’s earlier post further indicate my folly in doing so. You know, The New York Times gets things wrong, too. As an argument on a sophisticated level, it’s that all texts are constructs reflecting the attitude of the constructor rather than a verifiable external reality; on a less sophisticated level, it’s that all the other kids are smoking pot, too.
I’ve had enough. I’m bringing it down to this challenge.
Platform for sharing and evaluation of intelligent algorithms. Data mining data, experiments, datasets, performance analysis, data repository, challenges. Research and applications, prediction. Data mining and machine learning
In the INSEMTIVES game challenge we are looking for colorful, innovative ideas with a twist for new “games with a purpose”. The purpose, of course, is primarily the creation of useful semantic content.
The Elsevier Grand Challenge: Knowledge Enhancement in the Life Sciences is a contest created to improve the way scientific information is communicated and used. The contest invites members of the scientific community to describe and prototype a tool to improve the interpretation and identification of meaning in (online) journals and text databases relating to the life sciences. Specifically we are looking for new ways to:
J. Yamagishi, T. Nose, H. Zen, T. Toda, und K. Tokuda. Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seite 3957-3960. Las Vegas, NV, USA, (März 2008)
A. Hogan, E. Mu\ noz, und J. Umbrich. Proceedings of the Billion Triple Challenge 2012 (co-located with ISWC 2012, Boston, US), November 13, Boston, US, (November 2012)