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Web Information Extraction by HTML Tree Edit Distance Matching

Title
Web Information Extraction by HTML Tree Edit Distance Matching
Author
최중민
Issue Date
2007-11
Publisher
IEEE
Citation
2007 International Conference on Convergence Information Technology (ICCIT 2007), Page. 2455-2460
Abstract
The main issue for effective Web information extraction is how to recognize similar patterns in a Web page. Traditionally, it has been shown that pattern matching by using the HTML DOM tree is more efficient than the simple string matching approach. Nonetheless, previous tree-based pattern matching methods have problems by assuming that all HTML tags have the same values, assigning the same weight to each node in HTML trees. This paper proposes an enhanced tree matching algorithm that improves the tree edit distance method by considering the characteristics of HTML features. We assign different values to different HTML tree nodes according to their weights for displaying the corresponding data objects in the browser. Pattern matching of HTML patterns is done by obtaining the maximum mapping values of two HTML trees that are constructed with weighted node values from HTML data objects. Experiments are done over several Web commerce sites to evaluate the effectiveness of the proposed HTML tree matching algorithm.
URI
https://ieeexplore.ieee.org/document/4420619https://repository.hanyang.ac.kr/handle/20.500.11754/107257
ISBN
0-7695-3038-9
DOI
10.1109/ICCIT.2007.19
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학과) > Articles
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