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