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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bo Wu Xueqi Cheng Yu Wang Gang Zhang Guodong Ding |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute of computing technology, Chinese academy of sciences, Beijing, 100080, China (Bo Wu; Xueqi Cheng; Yu Wang; Gang Zhang; Guodong Ding) |
| Abstract | Current approaches for generating wrappers for web page extraction suffer from the requirement of huge amount of labeled training pages to obtain satisfying results. On the other hand, the quality of data extracted by fully automatic methods is not reliable. In this paper, we propose a novel method to facilitate wrapper generation by combining wrapper induction and page analysis approaches. In addition to manually labeled data, we also take advantage of a set of unlabeled pages to improve the quality of induced wrappers. Our experiments demonstrate that our system achieves a satisfying result with fewer manually labeled training pages. |
| Starting Page | 191 |
| Ending Page | 193 |
| File Size | 85317 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424441716 |
| DOI | 10.1109/ISI.2009.5137299 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Induction generators web mining Humans wrapper Data mining infromation extraction USA Councils Intersymbol interference Web pages Skeleton Labeling Classification tree analysis |
| Content Type | Text |
| Resource Type | Article |
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