JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (6): 49-55.doi: 10.6040/j.issn.1671-9352.5.2016.085

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The RESTful web services and knowledge base collaborative driven real-time tracking of emergency network opinion

TANG Ming-wei1,2,3, SU Xin-ning2,3, JIANG Xun2,3   

  1. 1.School of Management Science and Engineering, Nanjing Audit University, Nanjing 211815, Jiangsu, China;
    2. School of Information Management, Nanjing University, Nanjing 210046, Jiangsu, China;
    3. Jiangsu Key Laboratory of Data Engineering and Knowledge Service(Nanjing University), Nanjing 210046, Jiangsu, China
  • Received:2016-10-11 Online:2017-06-20 Published:2017-06-21

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Abstract: The emergency network opinion could reflect the evolution process of emergency at first time, could provide development for emergency management. The paper analyzed the sorts and structure of the common sources of emergency network opinion, studied the heterogeneous between opinion sources, discussed and the methods of collecting network opinion by opinion sources API and Web crawler. On the basis, it built the real-time tracking platform of emergency network opinion by collaborating with RESTful Web services and knowledge, and then studied its’ three key problems which are the construction and access of opinion base, the real-time collection of opinion data and opinion recognition. Finally, it realized the target of automatic recognition and real-time tracking of emergency from Internet.

Key words: knowledge base, emergency, RESTful Web services

CLC Number: 

  • TP391
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