DocumentCode :
120789
Title :
Semantics rich ontology guided research supervisor search based on their key areas
Author :
Santosh, D. Teja
Author_Institution :
Comput. Sci. & Eng., GITAM Univ., Hyderabad, India
fYear :
2014
fDate :
21-22 Feb. 2014
Firstpage :
911
Lastpage :
915
Abstract :
Search for an efficient research supervisor/guide by a research scholar accordingly now-a-days is a very tough task and ask. Searching them in web 2.0 is a time consuming task often leading to in complete knowledge gain. Web 3.0 [1] supported Ontologies helps the research scholars to search for their concerned area guide in an efficient manner. This is possible by merging the individual Ontologies like Friend-Of-A-Friend [3], Semantic Web for Research Communities [4] and etc., so that obtained Ontology will be semantics rich in nature in terms of guide area based classification and linked data [2] among the peer guides from other geographically dispersed locations which can thereby be used to gain crucial knowledge about the guides and making better decisions in reaching them.
Keywords :
ontologies (artificial intelligence); research and development; semantic Web; Web 2.0; friend-of-a-friend; research scholar; research supervisor search; semantic Web; semantics rich ontology; Communities; Educational institutions; Ontologies; Resource description framework; Semantics; Vocabulary; Ontology; Web 3.0; linked data; semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
Type :
conf
DOI :
10.1109/IAdCC.2014.6779444
Filename :
6779444
Link To Document :
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