Concept - Based Semantic Annotation Indexing and Retrieval for E-Learning Web Documents

被引:0
|
作者
Sarasu, R. [1 ]
Thyagharajan, K. K. [2 ]
机构
[1] Anna Univ, Dhanalaksmi Srinivasan Coll Engn & Technol, Comp Sci & Engn, Madras 600025, Tamil Nadu, India
[2] Anna Univ, RMD Engn Coll, Madras 600025, Tamil Nadu, India
来源
2013 INTERNATIONAL CONFERENCE ON GREEN COMPUTING, COMMUNICATION AND CONSERVATION OF ENERGY (ICGCE) | 2013年
关键词
Semantic web; clustering; Ontology; indexing;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
E-learning is the technology enables the people to access the information anytime and anywhere. E-Learning is just-in-time learning grown from the new learning requirements. "Semantic Web" is an enhancement of WWW architecture that provides content with formal semantics. The semantic web technology can be applied in different areas. E-Learning is one of the areas in which can benefitted by semantic web technology. This can be done by two folds, gathering the materials and creating semi-automatic annotation for the e-learning materials. After annotation, with the help of metadata, the annotation-ontology knowledge base defined for the documents and clustering is used when there are same concepts coming under the hierarchy. Whenever the user searches the query, it compared with the defined ontology present in the knowledge base. The user query and the defined ontology are matched the user are presented with the required documents and if not matched the query is refined.
引用
收藏
页码:833 / 836
页数:4
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