Post processing wrapper generated tables for labeling anonymous datasets
Proceedings of the eleventh international workshop on Web information and data management
Web-based closed-domain data extraction on online advertisements
Information Systems
| Hi-index | 0.00 |
We describe a machine-learning-based approach for extracting attribute labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve and integrate data that reside in online databases and that are hidden behind form interfaces, including schema matching and clustering, and hidden-Web crawlers. Whereas previous approaches to this problem have relied on heuristics and manually specified extraction rules, our technique makes use of learning classifiers to identify form labels. Our preliminary experiments show this approach is promising and has high accuracy.