DocumentCode
2709904
Title
Ontology Enabled Learning Resource Modeling and Management
Author
Yang, Zongkai ; Huang, Tao ; Liu, Qingtang ; Li, Xia ; Wu, Bei
Author_Institution
Dept. of Inf. Technol., Central China Normal Univ., Wuhan, China
fYear
2006
fDate
1-3 Nov. 2006
Firstpage
100
Lastpage
100
Abstract
In this paper, we proposed the learning resource ontology(LRO) models to formally describe learning content and learning context, respectively. In addition to utilizing the models to formally describe content, we also derived ontological relation between the content and context at semantic level. Furthermore, we have built a semantic similarity algorithm to measure the similarity between ontologies. Based on the similarity measure, the process of LRO retrieval is presented.
Keywords
information retrieval; learning (artificial intelligence); ontologies (artificial intelligence); resource allocation; LRO retrieval; learning content formal description; learning context formal description; ontology enabled learning resource management; ontology enabled learning resource modeling; semantic similarity algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
Conference_Location
Guilin
Print_ISBN
0-7695-2673-X
Type
conf
DOI
10.1109/SKG.2006.66
Filename
5727737
Link To Document