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
Link To Document :
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