A classification method for Web information extraction

Web information extraction is viewed as a classification process and a competing classification method is presented to extract Web information directly through classification. Web fragments are represented with three general features and the similarities between fragments are then defined on the bas...

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Bibliographic Details
Published in:Wuhan University journal of natural sciences 2004-09, Vol.9 (5), p.823-827
Main Authors: Li, Xiang-Yang, Zhang, Ya-Fei, Lu, Jian-Jiang, Xu, Bao-Wen
Format: Article
Language:English
Subjects:
Classification
Fragments
Information processing
Information retrieval
Webs
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Summary:Web information extraction is viewed as a classification process and a competing classification method is presented to extract Web information directly through classification. Web fragments are represented with three general features and the similarities between fragments are then defined on the bases of these features. Through competitions of fragments for different slots in information templates, the method classifies fragments into slot classes and filters out noise information. Far less annotated samples are needed as compared with rule-based methods and therefore it has a strong portability. Experiments show that the method has good performance and is superior to DOM-based method in information extraction.
ISSN:1007-1202
1993-4998
DOI:10.1007/BF02831688