RESTful Web服务和知识库协同驱动的突发事件网络舆情实时追踪

doi:10.6040/j.issn.1671-9352.5.2016.085

山东大学学报（理学版） ›› 2017, Vol. 52 ›› Issue (6): 49-55.doi: 10.6040/j.issn.1671-9352.5.2016.085

RESTful Web服务和知识库协同驱动的突发事件网络舆情实时追踪

唐明伟^1,2,3,苏新宁^2,3,蒋勋^2,3

1.南京审计大学管理科学与工程学院, 江苏南京 211815;2.南京大学信息管理学院, 江苏南京 210046;3.江苏省数据工程与知识服务重点实验室(南京大学), 江苏南京 210046

收稿日期:2016-10-11 出版日期:2017-06-20 发布日期:2017-06-21
作者简介:唐明伟(1982— ),男,博士,讲师,研究方向为智能信息处理. E-mail:tmw@nau.edu.cn
基金资助:
国家自然科学基金青年项目(71603114);江苏省社会科学基金资助项目(16TQC004);中国博士后基金面上项目(2015M581776);国家社会科学基金重大项目(13&ZD174);江苏省数据工程与知识服务重点实验室开放课题项目(DEKS2014KT003)

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

TANG Ming-wei^1,2,3, SU Xin-ning^2,3, JIANG Xun^2,3

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

摘要/Abstract

摘要： 突发事件网络舆情可在第一时间反应突发事件的演变过程可为应急管理及时提供事态进展。通过分析目前突发事件网络舆情常见信息来源的种类和结构,研究了不同舆情源之间的异构性,并探讨了使用舆情源专用API和网络爬虫采集网络舆情的方法。在此基础上,协同RESTful Web服务和知识库,构建了突发事件网络舆情实时追踪平台,并针对其舆情库的构建和访问、舆情数据的实时采集以及舆情识别3个关键问题进行了研究,最终实现从互联网中自动识别并实时追踪突发事件的目标。

关键词: RESTful Web服务, 知识库, 突发事件

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

中图分类号:

TP391

唐明伟,苏新宁,蒋勋. RESTful Web服务和知识库协同驱动的突发事件网络舆情实时追踪[J]. 山东大学学报（理学版）, 2017, 52(6): 49-55.

TANG Ming-wei, SU Xin-ning, JIANG Xun. The RESTful web services and knowledge base collaborative driven real-time tracking of emergency network opinion[J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2017, 52(6): 49-55.

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RESTful Web服务和知识库协同驱动的突发事件网络舆情实时追踪

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

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