Cart (Loading....) | Create Account
Close category search window
 

Fuzzy relational knowledge representation and context in the service of semantic information retrieval

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)
Wallace, M. ; Dept. of Comput. Sci., Nat. Tech. Univ. of Athens, Greece ; Avrithis, Y.

We follow a fuzzy relational approach to knowledge representation. With the use of semantic fuzzy relations we define and extract the semantic context out of a set of semantic entities. Based on this, we then proceed to the case of information retrieval and explain how the three participating contexts, namely the context of the query, the context of the document and the context of the user, can be estimated and utilized towards the achievement of more intuitive information services.

Published in:

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

25-29 July 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.