高职院校数字资源知识图谱的构建与应用研究

Yongjun Wei Yongjun Wei, Qiumi Qin Yongjun Wei, Caisen Chen Qiumi Qin, Xiaoyu Liu Caisen Chen
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引用次数: 0

摘要

随着数字化教育的发展,高校数字化资源的管理和利用面临着新的挑战。知识图是一种有效的知识组织和表示方式,可以将数字资源转化为结构化的实体、属性和关系形式,并提供个性化的学习支持和资源推荐。通过分析高职院校数字资源的特点、建设现状及存在的问题,提出了数字资源知识图谱建设的总体方案和方法,包括数据收集与整理、知识图谱建设、验证与优化,并给出了知识图谱建设的总体流程设计;然后,探讨了数字资源知识图谱在高职院校的典型应用场景,如学习资源推荐、路径规划、教学辅助和资源共享;最后,对数据质量、知识图谱更新与维护、隐私与安全等方面面临的挑战进行了探讨,并对未来的发展趋势和研究方向进行了展望。研究成果对促进高职教育信息化、智能化发展具有重要意义。
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Research on the Construction and Application of Knowledge Graph of Digital Resources in Vocational Colleges
With the development of digital education, colleges and universities are facing challenges in managing and utilizing digital resources. As an effective way of knowledge organization and representation, Knowledge graph can transform digital resources into structured entities, attributes and relationship forms, and provide personalized learning support and resource recommendation. By analyzing the characteristics, construction status and existing problems of digital resources in vocational colleges, this paper puts forward the overall plan and methods of digital resources knowledge graph construction, including data collection and sorting, knowledge graph construction, verification and optimization, and gives the general process design of knowledge graph construction; Then, this paper discusses the typical application scenarios of digital resources knowledge graph in vocational colleges, such as learning resource recommendation, path planning, teaching assistance and resource sharing; Finally, the challenges in this field, including data quality, knowledge graph updating and maintenance, privacy and security, are discussed, and the future trends and research directions are prospected. The research results are of great significance for promoting the informatization and intelligent development of vocational college education.  
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