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IJSTR >> Volume 2- Issue 6, June 2013 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Informative Content Extraction By Using Eifce [Effective Informative Content Extractor]

[Full Text]

 

AUTHOR(S)

Chaw Su Win, Mie Mie Su Thwin

 

KEYWORDS

Index Terms: Informative Content Extraction, Main Content Extraction, Web Page Segmentation

 

ABSTRACT

Abstract: Internet web pages contain several items that cannot be classified as the “informative content,” e.g., search and filtering panel, navigation links, advertisements, and so on. Most clients and end-users search for the informative content, and largely do not seek the non-informative content. As a result, the need of Informative Content Extraction from web pages becomes evident. Two steps, Web Page Segmentation and Informative Content Extraction, are needed to be carried out for Web Informative Content Extraction. DOM-based Segmentation Approaches cannot often provide satisfactory results. Vision-based Segmentation Approaches also have some drawbacks. So this paper proposes Effective Visual Block Extractor (EVBE) Algorithm to overcome the problems of DOM-based Approaches and reduce the drawbacks of previous works in Web Page Segmentation. And it also proposes Effective Informative Content Extractor (EIFCE) Algorithm to reduce the drawbacks of previous works in Web Informative Content Extraction. Web Page Indexing System, Web Page Classification and Clustering System, Web Information Extraction System can achieve significant savings and satisfactory results by applying the Proposed Algorithms.

 

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