Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 108-112.doi: 10.11896/j.issn.1002-137X.2016.11A.023

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Research on Technique of Course Ontology Automatically Constructing

TONG Ming-wen, NIU Lin, YANG Lin, ZOU Jun-hua and SHANG Chao-wang   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The course ontology used in the artificial intelligent learning system widely is one of the important technologies for knowledge organization in courses.To solve the problems of manual technique to construct the course ontology,a novel technique was proposed to construct the course ontology automatically.The technique employes some techniques such as Web spider,Chinese character division,and relation rule mining,to extract the concepts and relations of the course ontology from diverse web course resources.By experimental evaluation,it is proved that the technique can construct the course ontology automatically with high quality and efficiency.

Key words: Course ontology,Ontology automatically constructing,Chinese character division,Relation rule mining,Web spider

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