JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2012, Vol. 42 ›› Issue (5): 35-40.

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Research on Web negative information mining based on event ontology

LIU Dong-hui1,2, JIANG Wei1*   

  1. 1. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221000, China; 2. Department of Computers, Lianyungang Teachers’ College, Lianyungang 222000, China
  • Received:2012-05-10 Online:2012-10-20 Published:2012-05-10

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Abstract: In order to mine the negative information on the internet, the eventbased semantic analysis technology was applied. The methods of event ontologybased Web negative information mining, especially event ontology construction and text feature reconstitution were studied. Information clustering was used as an example to validate the methods proposed. A prototype system based on event ontology was implemented. Experimental results showed that the average accuracy obtained by the event ontologybased and kmeans method was 721％, which increased by 53％ compared with the traditional kmeans clustering method.

Key words: Web mining, negative information, clustering, event ontology, information retrieval

CLC Number: 

  • TP393
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