• 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