Classics of Deep Learning Approach for Human Behaviour Ontology: A Survey
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : H. R. Divakar, Dr.B.R.Prakash|
|DOI : 10.14445/22312803/IJCTT-V51P107|
H. R. Divakar, Dr.B.R.Prakash "Classics of Deep Learning Approach for Human Behaviour Ontology: A Survey". International Journal of Computer Trends and Technology (IJCTT) V51(1):46-51, September 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
As being a human with all technological equipments we cannot predict the different mode of communication, reaction and predicted behaviour for the current situation. So, in case of health centre to represent their current health status using social networks, having different conventional methods, among them we have Ontology is one of the technology derived from WordSet where we can retrieve information form semantic web for the cross reference of the given input regarding health social activity of a person based on the posts in online social networks allowing access between persons and places, for this we have a tool called SMASH ontology which works on the basis of semantic web. Where it access the middle ware for the human personal behaviour factor and social co-relation factor, the best prediction accuracy permit the development of semantic parsers to ontology specific queries for deep learning as ORBM. Now a day’s many online health information sites having human behaviour predictions done with the some of the tools like RBM, CRBM, SRBM, ORBM and follows.
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Semantic Web, Ontology, SMASH Ontology, Social networks, Deep learning, RBM, CRBM, SRBM, ORBM.