• DocumentCode
    3739934
  • Title

    Research on Semantic++ Computing Based on Big Data Environment

  • Author

    Ye Liang;Guigang Zhang;Chunxiao Xing;Yong Zhang;Chao Li

  • Author_Institution
    Dept. of Comput. Sci. &
  • fYear
    2015
  • Firstpage
    126
  • Lastpage
    129
  • Abstract
    With the development of cloud computing and IoT, more and more data-intensive applications have come into being. It is very import to process the big data for these data-intensive applications. In this paper, we do some analysis about the basic concepts of big data and semantic++ computing. It includes the definition of big data, semantic computing and semantic++ computing. In this paper, we make a detail analysis about the semantic++ understanding based on big data. It mainly includes semantic++ storage of big data resources, semantic++ information acquirement of big data resources, semantic++ resources management, semantic++ processing of big data, semantic++ service of big data, semantic++ security and privacy of big data, semantic++ interface and applications based on big data. Two kinds of semantic++ applications are proposed. In this paper, a semantic++ search and recommendation system framework is analyzed. Finally, the simulation experiment shows that the semantic++ search and recommendation method is more efficient than the traditional method.
  • Keywords
    "Semantics","Big data","Security","Data privacy","Cloud computing","Ecosystems","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Web Information System and Application Conference (WISA), 2015 12th
  • Print_ISBN
    978-1-4673-9371-3
  • Type

    conf

  • DOI
    10.1109/WISA.2015.43
  • Filename
    7396621