A Network Public Opinion Analysis System based on Semantic Web

被引：2
|
作者：
Tao Li [1 ,2 ]
Jiao Panpan [1 ]
He Jun [1 ]
Shu Wei [1 ]
Ma Qiang [1 ]
机构：
[1] Wuhan Univ Sci & Technol, Sch Comp, Wuhan, Peoples R China
[2] Wuhan Univ, Sch Comp, Wuhan, Hubei, Peoples R China
来源：
ICCSIT 2010 - 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 3 | 2010年
关键词：
semantic web; ontology; network public opinion; PRINCIPLES;
D O I：
10.1109/ICCSIT.2010.5564631
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the pervasion of Internet and the sharp increase of the number of netizens, Network public opinion has been serving as an effective method in the monitoring and reflection of social public opinion. However, Regulatory Authorities are inclined to concern more about public opinion in a special field while it is too difficult to acquisite the expected information that relates to a special area from the massive searching results based on key words, on the other hand, it is powerless for the key words to express the searching desire since its easiness of generating semantic drift phenomenon. This article introduced a semantic Web - based Network public opinion analysis system which realizes the vertical search of public opinion, and the analysis of specialization, besides, it completely solve the semantic drift phenomenon problem in public opinion analysis by establishing domain ontology. Taking public opinion in colleges and universities of Hubei Province for sample, we succeed in implementing the prototype system as well as demonstrating the effectiveness of the model.
引用
收藏
页码：550 / 554
页数：5
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