By Topic

Semantic Web Meets Computational Intelligence: State of the Art and Perspectives [Review Article]

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.

The purchase and pricing options are temporarily unavailable. Please try again later.
3 Author(s)
Huajun Chen ; 1College of Computer Science and Technology, Zhejiang University, Hangzhou, China ; Zhaohui Wu ; Philippe Cudre-Mauroux

The Semantic Web, as a decentralized complex system, is akin to be fuzzy and evolutionary. In this article, a comprehensive survey on the applications of variant Computational Intelligence methods to enhance a variety of Semantic Web applications is provided. The survey consists of three aspects: fuzzy logic to deal with vagueness and uncertainty in Web semantics; evolutionary computations to deal with the vastness and tractability issues in storing, querying, reasoning and mapping semantic data; artificial neural network to improve the learning capability of the Semantic Web. Based on the survey of the existing approaches in the literature, some potential future research directions in this area have also been discussed and proposed.

Published in:

IEEE Computational Intelligence Magazine  (Volume:7 ,  Issue: 2 )