NDLI: A novel approach for link context extraction using Bison parser

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2015 IEEE International Advance Computing Conference (IACC)

2014 IEEE International Advance Computing Conference (IACC)

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2013 3rd IEEE International Advance Computing Conference (IACC)

2010 IEEE 2nd International Advance Computing Conference (IACC)

2009 IEEE International Advance Computing Conference

A novel approach for link context extraction using Bison parser

Content Provider	IEEE Xplore Digital Library
Author	Gupta, S. Yadav, S.
Copyright Year	2014
Description	Author affiliation: CSE Dept., AKGEC, Ghaziabad, India (Yadav, S.) \|\| AKGEC, Ghaziabad, India (Gupta, S.)
Abstract	With the advent of World Wide Web, link context has been widely used for finding the theme of the target web page. Many approaches have been used to take advantage of the link context to get the precise context of link but the approaches were not very efficient. Link Context has been used in many areas like classification of web page, search engines, topical crawlers. In this paper we have derived the link context using LALR parser (Bison parser). For this different web pages have been collected and with the help of tag tree concepts are found out. Then using Bison parser link context have been derived. We have also compared the technique with the anchor text based method using Jaccard coefficient.
Sponsorship	IEEE India Counc. C Chapt.
Starting Page	941
Ending Page	945
File Size	312640
Page Count	5
File Format	PDF
e-ISBN	9781479925728
DOI	10.1109/IAdCC.2014.6779449
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Crawling Link Context Flexible printed circuits LALR parsing Conferences Crawlers HTML Grammar Web pages Anchor text Indexing Tag tree
Content Type	Text
Resource Type	Article

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