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Second International Conference on Semantics, Knowledge, and Grid (SKG'06)
Guilin, Guangxi, China
November 01-November 03
ISBN: 0-7695-2673-X
Zongkai Yang, Central China Normal University, China
Tao Huang, Central China Normal University, China
Qingtang Liu, Central China Normal University, China
Xia Li, Central China Normal University, China
Bei Wu, Central China Normal University, China
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.
Citation:
Zongkai Yang, Tao Huang, Qingtang Liu, Xia Li, Bei Wu, "Ontology Enabled Learning Resource Modeling and Management," skg, pp.100, Second International Conference on Semantics, Knowledge, and Grid (SKG'06), 2006
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