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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Advance Computing Conference (IACC), 2014 IEEE International
         
        
            Conference_Location : 
Gurgaon
         
        
            Print_ISBN : 
978-1-4799-2571-1
         
        
        
            DOI : 
10.1109/IAdCC.2014.6779444