NDLI: A novel approach for Web data extraction based on XML encoding

Content Provider	IEEE Xplore Digital Library
Author	Tiezheng Nie Derong Shen Ge Yu Zhong Shi
Copyright Year	2010
Description	Author affiliation: Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education, Shenyang China (Tiezheng Nie; Derong Shen) \|\| College of Information Science and Engineering, Northeastern University, Shenyang China (Ge Yu; Zhong Shi)
Abstract	The problem of extracting data from a Web page has been studied by many works. In this paper, we present a novel approach that extracts data records from Web pages based on techniques of XML encoding. Firstly, our approach formats a given Web data page into an XML document. Then instead of using DOM-based approaches, we make use of XML encoding model to transform the XML document into a linear sequence. Our algorithm identifies the data records of a Web page from the sequence, which avoids the complex matching between sub trees in DOM model. Moreover, we address the problem of repetitive subparts in records and propose an algorithm for data alignment. Experimental results show that our approach can extract data records accurately from web pages.
Starting Page	2417
Ending Page	2421
File Size	351513
Page Count	5
File Format	PDF
ISBN	9781424459315
e-ISBN	9781424459346
DOI	10.1109/FSKD.2010.5569297
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis xml encoding data extraction Web pages XML Feature extraction Encoding HTML Data mining Web data
Content Type	Text
Resource Type	Article

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