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Lecture Notes in Computer Science
This paper studies automatic extraction of structured data from Web pages. Each of such pages may contain several groups of structured data records. Existing automatic methods still have several limitations. In this paper, we propose a more effective method for the task. Given a page, our method first builds a tag tree based on visual information. It then performs a post-order traversal of the tree and matches subtrees in the process using a tree edit distance method and visual cues. After thedoi:10.1007/11581062_39 fatcat:n7cv3a5aqfhlrgb3hgz2eit5nu