Web Object Mining Using Entropy Increasing Rate

Liu Rui; Jiang Feng Ni; Hong Ping Hu

doi:10.4028/www.scientific.net/AMR.403-408.2602

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Web Object Mining Using Entropy Increasing Rate

Web Object Mining Using Entropy Increasing Rate

Abstract:

In this paper, we proposed a new method of web objects extraction based on entropy theory, which takes both tag structure and content pattern into consideration for object detection. Firstly, it calculates content entropy of each node in HTML tag tree. Then, it uses entropy increasing rate to capture characteristics of object region and identify the minimal sub-tree that contains objects. Finally, a set of heuristics is employed for more accurate extraction. Experimental evaluation shows it can enhance the overall effectiveness of object mining.

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Periodical:

Advanced Materials Research (Volumes 403-408)

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2602-2606

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2602

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Online since:

November 2011

Authors:

Liu Rui, Jiang Feng Ni, Hong Ping Hu

Keywords:

Entropy, Information Extraction, Web Object Mining

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