DocumentCode :
2959612
Title :
Personalized Search of Educational Content Based on Multiple Ontologies
Author :
Fok, Apple W P ; Ip, Horace H S
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong
fYear :
2006
fDate :
9-12 July 2006
Firstpage :
2085
Lastpage :
2088
Abstract :
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
Keywords :
educational technology; natural languages; ontologies (artificial intelligence); query formulation; teaching; English language learning; education resource retrieval; educational ontology; personalized education search; query generation; teaching; Application software; Computer science; Content based retrieval; Education; Educational institutions; Educational technology; Internet; Multimedia computing; Natural languages; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
Type :
conf
DOI :
10.1109/ICME.2006.262645
Filename :
4037042
Link To Document :
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