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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yeonjung Kim Jeahyun Park Taehwan Kim Joongmin Choi |
| Copyright Year | 2007 |
| Description | Author affiliation: Hanyang Univ., Seoul (Yeonjung Kim; Jeahyun Park; Taehwan Kim; Joongmin Choi) |
| 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. |
| Starting Page | 2455 |
| Ending Page | 2460 |
| File Size | 430349 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769530389 |
| DOI | 10.1109/ICCIT.2007.19 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-21 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Web pages Vegetation mapping HTML Pattern recognition Dynamic programming Data mining Information technology Pattern matching Business |
| Content Type | Text |
| Resource Type | Article |
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