Instance Based Clustering of Semantic Web Resources

author: Gunnar AAstrand Grimnes, DFKI Kaiserslautern

You might be experiencing some problems with Your Video player.

*Slides*
0:00	Instance Based Clustering of Semantic Web Resources
0:35	Introduc tion
1:14	Machine Learning from RDF
3:03	Data-sets
5:11	Datasets – Citeseer
6:56	Extrac ting Instances
7:52	Instance Extrac tion
8:59	Extrac ted Instance
10:15	Distance Measure
11:24	Feature Vector Distance
11:58	Feature Vector Example
14:13	Feature Vector Distance
14:52	Graph Based Distance
15:24	Ontological Distance
17:15	Experiments
20:00	Results
21:01	Supervised Results I
23:37	Supervised Results II
25:01	Unsupervised Results
26:15	Conclusions
27:35	Future Work
29:03	Thanks for you attention!
29:21	- Questions

Lecture rating

People found this lecture:
Worth seeing
because it is:
Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

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.