Ontologies and Machine Learning

Content:

2^nd lecture on ontology greatly helped me to change the vague idea about this. Dr. Fridsma discussed different web-based ontology languages. it’s the 1^st time I kind of understand the difference between syntax and semantic by knowing their actual meaning. It is very clear that syntax is more important than semantics when to place information on a web page. The idea is to process the information in a meaningful way so that the machine can be capable of taking any decision.

In the 2^nd lecture of the machine learning Dr. Shuiwang discussed k means and hierarchical clustering. Clustering has applications to detect events in biomedical informatics.  As I discussed before it tries to cluster the data in terms of shortest Euclidian distance between them. Hopefully we will learn about some applications of clustering in the next class which might lucid the idea more.

Posted by Gazi