DocumentCode :
119647
Title :
A platform for collaborative visual analysis on streaming messages
Author :
Liu, Zipeng ; Wang, Zhenhuang ; Chen, Siming ; Wang, Zuchao ; Miao, Zhengjie ; Yuan, Xiaoru
Author_Institution :
Peking University
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
375
Lastpage :
376
Abstract :
We proposed a collaborative platform to analyze streaming microblog messages in real-time on the emergence of security events, for VAST 2014 Mini Challenge 3. Our team members monitored and analyzed the streaming data simultaneously on it, where we could flexibly distribute workloads by filtering the data streams as we liked, and share notable information such as suspects and locations. With the assistance of a keyword analyzer, we were able to stay vigilant for potential emergencies in the course of streaming and conduct postmortem analysis. We will describe the collaborative mechanisms, as well as the design principles and considerations in detail.
Keywords :
H.1.2 [Human information processing]: Collaboration — Event comparison; H.5.2 [Information Systems]: Information Interfaces and Presentation — User Interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris, France
Type :
conf
DOI :
10.1109/VAST.2014.7042573
Filename :
7042573
Link To Document :
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