DocumentCode :
1703030
Title :
A domain ontology-based navigation learning system
Author :
Zheng, Qinghua ; Wang, Yanye ; Huang, Zhibin ; Tian, Feng
Author_Institution :
MOE KLINNS Lab. & SKLMS Lab., Xi´´an Jiaotong Univ., Xi´´an
fYear :
2008
Firstpage :
1065
Lastpage :
1070
Abstract :
This paper focuses on the design and implementation of a domain ontology-based navigation learning system, which can guide the user to learn more efficiently. Aiming at improving users´ conceptual understanding of course material, a navigation structure was built among concepts, and each concept is presumed to have at least one concept instance which is provided by a Web answer system based on natural language which was integrated in this system. Then users would browse through the linked resources under those particular concepts as well as related concepts and get a better understanding of the material in the course. The kernel of such function was a domain knowledge base which was composed of concepts and relationship between them. Ontology was introduced as a mechanism to guide the establishment of this base. At last, a method of extracting concepts and relationship between them by using machine learning algorithms were presented.
Keywords :
Internet; computer aided instruction; ontologies (artificial intelligence); Web answer system; domain ontology-based navigation learning system; machine learning algorithms; natural language; navigation structure; Computer science; Displays; Kernel; Learning systems; Libraries; Machine learning algorithms; Materials science and technology; Natural languages; Navigation; Ontologies; Concepts acquisition; Domain Ontology; Navigation; Relations acquisition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1650-9
Electronic_ISBN :
978-1-4244-1651-6
Type :
conf
DOI :
10.1109/CSCWD.2008.4537127
Filename :
4537127
Link To Document :
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