Web-scale information extraction in knowitall: (preliminary results)

@inproceedings{Etzioni2004WebscaleIE,
  title={Web-scale information extraction in knowitall: (preliminary results)},
  author={Oren Etzioni and Michael J. Cafarella and Doug Downey and Stanley Kok and Ana-Maria Popescu and Tal Shaked and Stephen Soderland and Daniel S. Weld and Alexander Yates},
  booktitle={WWW},
  year={2004}
}
Manually querying search engines in order to accumulate a large bodyof factual information is a tedious, error-prone process of piecemealsearch. Search engines retrieve and rank potentially relevantdocuments for human perusal, but do not extract facts, assessconfidence, or fuse information from multiple documents. This paperintroduces KnowItAll, a system that aims to automate the tedious process ofextracting large collections of facts from the web in an autonomous,domain-independent, and… CONTINUE READING
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