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WWW
2005
ACM
12 years 6 months ago
Thresher: automating the unwrapping of semantic content from the World Wide Web
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 exam...
Andrew Hogue, David R. Karger
CIVR
2006
Springer
138views Image Analysis» more  CIVR 2006»
11 years 9 months ago
A Large Scale System for Searching and Browsing Images from the World Wide Web
Abstract. This paper outlines the technical details of a prototype system for searching and browsing over a million images from the World Wide Web using their visual contents. The ...
Alexei Yavlinsky, Daniel Heesch, Stefan M. Rü...
ACSW
2004
11 years 6 months ago
Discovering Parallel Text from the World Wide Web
Parallel corpus is a rich linguistic resource for various multilingual text management tasks, including crosslingual text retrieval, multilingual computational linguistics and mul...
Jisong Chen, Rowena Chau, Chung-Hsing Yeh
AGENTS
1997
Springer
11 years 9 months ago
A Scalable Comparison-Shopping Agent for the World-Wide Web
The World-Wide-Web is less agent-friendly than we might hope. Most information on the Web is presented in loosely structured natural language text with no agent-readable semantics...
Robert B. Doorenbos, Oren Etzioni, Daniel S. Weld
WS
2008
ACM
11 years 5 months ago
Mass argumentation and the semantic web
The World Wide Web (WWW) can be seen as an ideal platform for enhancing argumentative expression and communication, due to its ubiquity and openness. Much argumentation takes plac...
Iyad Rahwan
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