Tree-Structured Template Generation for Web Pages.
Journal
2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 20-24 September 2004, Beijing, China
Pages
327-333
Date Issued
2004
Author(s)
Chuang, Shui-Lung
Abstract
As the web becomes an increasingly important source of information, tools for modeling, searching, and extracting information from Web pages are indispensable. By modeling the structure of a Web page defined by its markup tags, one can easily extract target information using structural templates. This paper introduces the Tree Template Automatic Generator (TTAG) that learns tree-structured templates from training Web pages. TTAG was applied to both query-based and frequently updated Web sites, and produced effective templates from a small number of examples. The experiments show that TTAG is a powerful extraction tool for semi-structured information sources.
SDGs
Type
conference paper