• DocumentCode
    3741012
  • Title

    Cloud based sports analytics using semantic web tools and technologies

  • Author

    Khalid Mahmood;Hiro Takahashi

  • Author_Institution
    Department of Computer Science & Engineering, Oakland University, Rochester, MI, USA 48307
  • fYear
    2015
  • Firstpage
    431
  • Lastpage
    433
  • Abstract
    The "variety" aspect of Big data is of immense significance since it accommodates the numerous formats of information - Structured, Unstructured and Semi-structured This paper presents novel idea of cloud based video analytics using speech processing, Natural Language Processing and semantic web technologies, along with analysis of sensory data obtained from players body sensors. The long term goal of our proposed system based on deep learning is to give answers like what is the best combination of players for next N minutes of the game by performing detailed analysis on variety of big data.
  • Keywords
    "Sensors","Games","Speech","Big data","Semantic Web","Speech processing","Tagging"
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (GCCE), 2015 IEEE 4th Global Conference on
  • Type

    conf

  • DOI
    10.1109/GCCE.2015.7398708
  • Filename
    7398708