I can advice you research run by Kira Radinsky about semantic analysis of the data within the machine learning and predictive analysis. You can find more about the her field of research by listening to this "Forecasting events, from disease outbreaks to sales to cancer research" (http://radar.oreilly.com/2015/02/forecasting-events-from-disease-outbreaks-to-sales-to-cancer-research.html).

Have a look at NELL. NELL crawls through web pages,

searches for text phrases and tries to accumulate

ontological knowledge.

http://rtw.ml.cmu.edu/rtw/

http://rtw.ml.cmu.edu/papers/carlson-aaai10.pdf

Regards,

Joachim

That is one of the aims of Semantic Web. But it is just an approach, an approximated result, using formal methods, in order to be understood by computer systems.

Look at http://corpora.ids-mannheim.de/ccdb/, read the papers A, B, C.

Do you have ever applied the Bloom's Taxonomy of Educational Objectives to semantic learning ?  Bloom identified several levels of learning process, each with a list of suitable verbs for describing the learning process which can be applied to semantic learning.

No  i have not applied bloom's taxonomy.. I am trying to apply semantic learning to a question answering system which is not dependent on a particular domain

Ya Possible by Machine learning algorithm

Aarthi:

Interesting question! I looked at what was available in RG, which I hope can be helpful:

https://www.researchgate.net/publicliterature.PublicLiterature.search.html?type=keyword&search-keyword=Achieving+semantic+learning&search-abstract=&search=Search

Best regards,

Debra