By Topic

The dual-level index model of text retrieval system based on concept

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
$31 $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)
Maoyuan Zhang ; Dept. of Comput. Sci., HuaZhong Normal Univ., Wuhan, China ; Ming Liu

The technology of concept extending has been researched to deal with the vocabulary mismatch problem for the text retrieval systems. It can not be avoided that the concept extending leads to more time cost of the retrieval systems. To aim at solving the problem, this paper puts forward a novel retrieval system, which is based on a dual-level index model. The dual-level index model introduces the index mechanism into the concept extending, to allow quick extending. Moreover, the model combines the memory buffering mechanism with the index of concept extending, to speed up the extending process. In order to apply the dual-level index model, a retrieval method is given for the retrieval system. The experimental results show that the method achieves a better runtime performance.

Published in:

Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on

Date of Conference:

20-21 Oct. 2010