Journal of Guangxi Normal University(Natural Science Edition) ›› 2010, Vol. 28 ›› Issue (1): 127-130.

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An Automatic Generating Method of Adaptable Web Information Extraction Rule

HUANG Feng1,2, WU Hua-rui1,2   

  1. 1. National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;
    2. Key Laboratory for Information Technologies in Agriculture,the Ministryof Agriculture,Beijing 100097,China
  • Received:2009-12-20 Online:2010-03-20 Published:2023-02-07

Abstract: An automatic generating method of adaptable Web information extraction rule is proposed,which extracts data of complex type on the Web andrevises iteration by comparing with multi-sampling page and discovering repeatpattern in one-sample and extracts dynamic base on method of semantic analysisrules.Experimental results show that the method performs well in both precision and robustness.

Key words: information extraction, semantic analysis, adaptive approach

CLC Number: 

  • TP391
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