Education Resource Knowledge Management Model Base on Topic Maps and Knowledge Relevance Algorithm

被引:1
|
作者
Wang Xiaobo [1 ,2 ]
Liu Jinglong [2 ]
Li Xiao [2 ]
机构
[1] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[2] Chinese Acad Sci, Xinjiang Key Lab Minor Speech & Language Informat, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Xinjiang, Peoples R China
关键词
topic map; knowledge element; ontology; relevance; Introduction;
D O I
10.1109/ICITBS.2015.94
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the popularization of network technology and higher level educational information, education in the field of knowledge management has become a research hotspot. The knowledge point is an essential cell which transferred information in teaching. Automatically extracted from the network a lot of teaching resources in knowledge and information, and then translates the information into the corresponding elements of topic maps. A model of educational resources knowledge management based on topic maps is put forward. The method of semantic relatedness of topic maps evaluation among topics and between topic and resources to be studied, which can be applied to knowledge services. For example, knowledge navigation system, constitute the new navigation system, the precise concept of association, narrow the search space, returns the sorted result set, enhance knowledge retrieval, efficiency and accuracy of navigation.
引用
收藏
页码:351 / 357
页数:7
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