中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on Ontology-based Knowledge Base Construction of Bilingual Teaching Resources

文献类型:会议论文

作者Wang, XB (Wang Xiaobo) 1 , 2; Liu, JL (Liu, Jinglong) 1 , 2; Xu, CX (Xu, Chunxiang) 1 , 2
出版日期2016
会议日期NOV 25-26, 2016
会议地点Zhangjiajie, PEOPLES R CHINA
关键词Bilingual education Teaching resources Ontology Knowledge base
DOI10.1109/ICSCSE.2016.17
页码144-148
英文摘要

Abundant teaching resources have been accumulated along with the rapid development of bilingual education in Xinjiang, China. However it remains challenging to utilize or share these resources due to the lack of effective resource management mechanism. This paper provides a thorough study on a knowledge base for bilingual education of the Xinjiang Bilingual Teaching Resources Database. Based on ontology technology and subject knowledge, Specifically, it discusses knowledge expression, acquisition, construction of the database, and the curriculum-oriented knowledge model for bilingual teaching resources. The purpose of this research is to provide an effective solution to address the critical issues regarding teaching resource management, such as interoperability, resource sharing, and scalability. For subsequent Bilingual teaching resource library to provide personalized services to users, resources and other aspects of function can also be recommended to provide intelligent solutions.

会议录2016 INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE)
ISBN号978-1-5090-5530-2
WOS记录号WOS:000393315900039
源URL[http://ir.xjipc.cas.cn/handle/365002/7959]  
专题新疆理化技术研究所_多语种信息技术研究室
通讯作者Wang, XB (Wang Xiaobo) 1 , 2
作者单位1.Xinjiang Lab Minor Speech & Language Informat Pro, Xinjiang 830011, Urumqi, Peoples R China
2.Chinese Acad Sci, Xinjiang Tech Inst Phys &Chem, Xinjiang 830011, Urumqi, Peoples R China
推荐引用方式
GB/T 7714
Wang, XB ,Liu, JL ,Xu, CX . Research on Ontology-based Knowledge Base Construction of Bilingual Teaching Resources[C]. 见:. Zhangjiajie, PEOPLES R CHINA. NOV 25-26, 2016.

入库方式: OAI收割

来源:新疆理化技术研究所

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