Intelligent Extraction of Fine Granularity Information from Web Page

Liu Han; Zhang Bin

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Intelligent Extraction of Fine Granularity Information from Web Page

Liu Han 1 #,Zhang Bin 2 *

1.Information & Communication Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China

2.Information & Communication Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China

*Correspondence author

#Submitted by

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Funding: none

Opened online:25 October 2013

Accepted by: none

Citation: Liu Han,Zhang Bin.Intelligent Extraction of Fine Granularity Information from Web Page[OL]. [25 October 2013] http://en.paper.edu.cn/en_releasepaper/content/4563853

with an outburst of web information growth, web fine particle size information extraction becomes more important. However, information extraction commonly used at present has shortcoming in poor universality, complex model and rough result. This paper proposed a robust approach to extract fine granularity information via the research in web page content characteristic, structure and natural language heuristic rules. The method extracted web information in hierarchy and transformed coarse granularity web page gradually into fine granularity web page, and then identified the fine particle size information by word similarity to form structured web page attribute items. Finally, this paper conducted experiments over multiple websites to validate the proposed algorithm and give profound analysis towards experimental results. The analysis indicates that the proposed algorithm has the warrant of good applicability as well as high accuracy extraction.?????

Keywords:information extraction; web page granularity; attribute item; web page segmentation; text construction

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