By Topic

Automatic construction of networks of concepts characterizing document databases

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
H. Chen ; MIS Dept., Arizona Univ., Tucson, AZ, USA ; K. J. Lynch

Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically from large, operational textual databases using two statistical algorithms. The knowledge bases were evaluated in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases, which exhibited the asymmetric link property, outperformed four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained 20000 concepts (nodes) and 280000 weighted relationships (links), was incorporated as a thesaurus-like component in an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:22 ,  Issue: 5 )