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 |
DOI | 10.1109/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)
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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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