Summary: Web-Scale Information Extraction in KnowItAll
(Preliminary Results)
Oren Etzioni Michael Cafarella Doug Downey
Stanley Kok Ana-Maria Popescu Tal Shaked
Stephen Soderland Daniel S. Weld
Department of Computer
Science and Engineering
University of Washington
Seattle, WA 98195-2350
U.S.A.
etzioni@cs.washington.edu
Alexander Yates
ABSTRACT
Manually querying search engines in order to accumulate a large
body of factual information is a tedious, error-prone process of
piecemeal search. Search engines retrieve and rank potentially rel-
evant documents for human perusal, but do not extract facts, assess
confidence, or fuse information from multiple documents. This pa-
per introduces KNOWITALL, a system that aims to automate the
tedious process of extracting large collections of facts from the web

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
Cafarella, Michael J. - Department of Electrical Engineering and Computer Science, University of Michigan
Weld, Daniel S.- Department of Computer Science and Engineering, University of Washington at Seattle
Yates, Alexander - Department of Computer and Information Sciences, Temple University

Collections: Computer Technologies and Information Sciences