NDLI: Web Page Segmentation and Informative Content Extraction for Effective Information Retrieval

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Web Page Segmentation and Informative Content Extraction for Effective Information Retrieval

Content Provider	Semantic Scholar
Author	Win, Chaw Su Thwin, Mie Mie Su
Copyright Year	2014
Abstract	Internet web pages typically contain a large amount of non-informative content such as advertisements, search and filtering panel, headers, footers, navigation links, and copyright notices, etc. Such irrelevant information in web pages can seriously harm Web Mining. So the need of Informative Content Extraction from web pages becomes evident. Two steps, Web Page Segmentation and Informative Content Extraction, are needed to carry 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. In this paper Effective Informative Content Title Extractor (EICTE) Algorithm is also proposed to effectively extract the title of the informative content of the web page. The effective extraction results of the Proposed Algorithm, higher Precision and Recall can help for increasing the performance of Web Mining tasks.
Starting Page	35
Ending Page	45
Page Count	11
File Format	PDF HTM / HTML
Volume Number	2
Alternate Webpage(s)	http://ijccer.org/index.php/ojs/article/download/76/41
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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