Personalized Search of Educational Content Based on Multiple Ontologies

In this paper, we introduce the design of a Personalized Education (PE) search approach that employs multiple ontologies to automatically generate queries for educational resources retrieval based on a high level specification of the teaching/learning needs of a user. Central to this approach is the design of PEOnto which is an educational ontology that consists of FIVE interrelated ontologies that supports the delivery of various services in a Personalized Education System. We illustrate the feasibility of PEOnto design through a scenario walkthrough in the context of Grade 4 English Language learning.

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: Apple W. P. Fok, Horace Ho-Shing Ip
• Keywords: Educational Resources Retrieval, ICMCS 2006, Interrelated Ontologies, Personalized Education