@inProceedings{
 title = {Web-Scale Information Extraction in KnowItAll ( Preliminary Results )},
 type = {inProceedings},
 year = {2004},
 identifiers = {[object Object]},
 keywords = {information extraction,mutual information,search},
 pages = {100-110},
 websites = {http://portal.acm.org/citation.cfm?id=988687},
 publisher = {ACM Press},
 series = {WWW '04},
 editors = {[object Object],[object Object],[object Object],[object Object]},
 id = {c0175776-d50f-345b-9d9a-dab8f04ee7fd},
 created = {2011-02-24T21:47:51.000Z},
 file_attached = {true},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Etzioni2004},
 private_publication = {false},
 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 in an autonomous, domain-independent, and scalable manner. The paper describes preliminary experiments in which an in- stance of KNOWITALL, running for four days on a single machine, was able to automatically extract 54,753 facts. KNOWITALL asso- ciates a probability with each fact enabling it to trade off precision and recall. The paper analyzes KNOWITALLs architecture and re- ports on lessons learned for the design of large-scale information extraction systems.},
 bibtype = {inProceedings},
 author = {Etzioni, Oren and Cafarella, Michael and Downey, Doug and Kok, Stanley and Popescu, Ana-Maria and Shaked, Tal and Soderland, Stephen and Weld, Daniel S and Yates, Alexander},
 booktitle = {Proceedings of the 13th international conference on World Wide Web}
}

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