DocumentCode :
649710
Title :
RUBA: Real-time unstructured big data analysis framework
Author :
Jaein Kim ; Nacwoo Kim ; ByungTak Lee ; Joonho Park ; Kwangik Seo ; Hunyoung Park
Author_Institution :
Honam Res. Center, ETRI, Gwangju, South Korea
fYear :
2013
fDate :
14-16 Oct. 2013
Firstpage :
518
Lastpage :
522
Abstract :
We are greeting “Big Data Generation”. As ICT technology is developing, the volume of data is incredibly growing and many works to deal with a big data are underway. In this paper, we proposed a novel framework for real-time unstructured big data analysis, such as a movie, sound, text and image data. Our proposed framework provides functions of a real-time analysis and dynamic modification for unstructured big data analysis. We have implemented the object monitoring system as a test system which is applied our framework, and we have confirmed each functions and the availability of our framework.
Keywords :
data analysis; ICT technology; RUBA framework; big data generation; data volume; image data; information and communication technology; movie data; object monitoring system; realtime unstructured big data analysis framework; sound data; text data; Big Data; CEP; CQL; Real-time System; Unstructured Data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT Convergence (ICTC), 2013 International Conference on
Conference_Location :
Jeju
Type :
conf
DOI :
10.1109/ICTC.2013.6675410
Filename :
6675410
Link To Document :
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