By Topic

Intelligent Search Agents for Web-Based Intelligent Tutoring Systems

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

3 Author(s)
Sun Yu ; Inst. of Comput. Sci. & Inf. Technol., Yunnan Normal Univ., Kunming ; Xu Tianwei ; Li Zhiping

In this paper, after the introduction of ontology-based domain knowledge bases and domain knowledge representation, a formal query model of intelligent search agents that can search over distributed knowledge bases with heterogeneity for Web-based intelligent tutoring systems is proposed; and the searching process of these agents is analyzed. Ontologies are introduced to describe the semantic information of knowledge bases in order to express fully the semantics of queries in our Web-based intelligent tutoring system. This model improves the relevance of the searching results. At the same time, it reflects the dynamic change of the information in the knowledge bases and reduces the consistency and efficiency problem caused by using globe ontology.

Published in:

Computer Science and Software Engineering, 2008 International Conference on  (Volume:5 )

Date of Conference:

12-14 Dec. 2008