document: Automatic web news extraction using tree edit distance The Web poses itself as the largest data repository ever available in the history of humankind . Major efforts have been made in order to provide efficient access to relevant information within this huge repository of data . Although several techniques have been developed to the problem of Web data extraction , their use is still not spread , mostly because of the need for high human intervention and the low quality of the extraction results . In this paper , we present a domain-oriented approach to Web data extraction and discuss its application to automatically extracting news from Web sites . Our approach is based on a highly efficient tree structure analysis that produces very effective results . We have tested our approach with several important Brazilian on-line news sites and achieved very precise results , correctly extracting 87.71 % of the news in a set of 4088 pages distributed among 35 different sites .
doc_bio_tags: O B O O O O B I O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B B I O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O