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Transcendence: Enabling a Personal View of the Deep Web Jeffrey P. Bigham, Anna C. Cavender, Ryan S. Kaminsky, Craig M. Prince and Tyler S. Robison
 

Summary: Transcendence: Enabling a Personal View of the Deep Web
Jeffrey P. Bigham, Anna C. Cavender, Ryan S. Kaminsky, Craig M. Prince and Tyler S. Robison
Department of Computer Science and Engineering
University of Washington
Seattle, WA 98195 USA
{jbigham, cavender, rkamin, cmprince, trobison}@cs.washington.edu
ABSTRACT
A wealth of structured, publicly-available information ex-
ists in the deep web but is only accessible by querying web
forms. As a result, users are restricted by the interfaces pro-
vided and lack a convenient mechanism to express novel and
independent extractions and queries on the underlying data.
Transcendence enables personalized access to the deep web
by enabling users to partially reconstruct web databases in
order to perform new types of queries. From just a few ex-
amples, Transcendence helps users produce a large number
of values for form input fields by using unsupervised infor-
mation extraction and collaborative filtering of user sugges-
tions. Structural and semantic analysis of returned pages
finds individual results and identifies relevant fields. Users

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
Cavender, Anna C. - Google Labs, Seattle

 

Collections: Computer Technologies and Information Sciences