• DocumentCode
    2986172
  • Title

    Personal Knowledge Advantage Machine: Pervasive Methods for Semantic Information Retrieval

  • Author

    Desjardins, F. ; Moparthi, R. ; Vangala, Shivashankar ; Wang, Lingfeng ; Reddy, Raghu ; Reddy, Swetha

  • Author_Institution
    Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
  • fYear
    2012
  • fDate
    25-27 June 2012
  • Firstpage
    191
  • Lastpage
    193
  • Abstract
    We present a new framework for visualization and retrieval of knowledge organized as a personal semantic web. This framework is an extension of other semantic web technologies and aims to achieve a fast, elegant solution to carrying your knowledge with you. The architecture described has been developed on the Google Android platform and embedded OpenGL. We call this a Personal Knowledge Advantage Machine (pKaM) as it is designed to access a personalized semantic network using a user-specific ontology. This also includes a graphical browser which enables a user visualize the portion of the semantic network that is relevant to the specific user context.
  • Keywords
    data visualisation; information retrieval; online front-ends; ontologies (artificial intelligence); semantic Web; ubiquitous computing; Google Android platform; embedded OpenGL; graphical browser; knowledge retrieval; knowledge visualization; pKaM; personal knowledge advantage machine; personal semantic Web; personalized semantic network; pervasive method; semantic Web technology; semantic information retrieval; user context; user-specific ontology; Context; Knowledge engineering; Organizing; Semantic Web; Semantics; Servers; User interfaces; context; information retrieval; knowledge advantage machine; pervasive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st International Workshop on
  • Conference_Location
    Toulouse
  • ISSN
    1524-4547
  • Print_ISBN
    978-1-4673-1888-4
  • Type

    conf

  • DOI
    10.1109/WETICE.2012.109
  • Filename
    6269725