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Most Influential WWW 2005 Paper · 2026-03 edition

Thresher: Automating The Unwrapping Of Semantic Content From The World Wide Web

Andrew Hogue; David Karger

Venue
ACM Web Conference (WWW) 2005
Recognition
Most Influential WWW 2005 Paper (Rank No. 7)
Edition
2026-03
Impact factor
6
Certificate ID
820925c79f974566

Abstract

We describe Thresher, a system that lets non-technical users teach their browsers how to extract semantic web content from HTML documents on the World Wide Web. Users specify examples of semantic content by highlighting them in a web browser and describing their meaning. We then use the <i>tree edit distance</i> between the DOM subtrees of these examples to create a general pattern, or wrapper, for the content, and allow the user to bind RDF classes and predicates to the nodes of these wrappers. By overlaying matches to these patterns on standard documents inside the Haystack semantic web browser, we enable a rich semantic interaction with existing web pages, "unwrapping" semantic data buried in the pages' HTML. By allowing end-users to create, modify, and utilize their own patterns, we hope to speed adoption and use of the Semantic Web and its applications.

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