Reasoning with LarKC

author: Michael Witbrock, IBM Thomas J. Watson Research Center
published: Dec. 23, 2011,   recorded: December 2011,   views: 3381
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

The FP7 LarKC project, which was funded through to November 2011, is an ambitious effort to scale up and apply automated reasoning, of many forms, to internet-scale content. The project was largely successful, setting the state of the art, for example, in large scale knowledge curation and parallel inference. The project also produced a powerful open source software artifact, the LarKC platform, that can be used as a basis for knowledge based applications and research programs. In this talk I will motivate LarKC, describe the platform, and, now that the initial project is over, the process of transitioning LarKC to a sustainable future.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: