摘要
针对教育资源数据量庞大,教育信息处理耗时长、资源消耗大的问题,文中提出一种基于智能数据采集与处理的教育信息融合方法。该方法将不同的教育信息表示为元数据,构建元数据关系映射表,实现数据间的关联与映射,并最终使用Protege软件来自动构建教育信息的本体库。通过对教育信息本体进行规范化表示与操作,使用语义本体对不同教育信息进行融合,得到精简后的教育资源本体库。基于朴素贝叶斯的数据推荐算法的数据测试验证结果表明,文中所提方法能保证教育信息的准确性。
In allusion to the problems such as huge amount of educational resource data,the long time consumption in the educational information processing,and large resource consumption,an educational information fusion method based on intelligent data collection and processing is proposed.In this method,the different education information is represented as metadata,and the relational mapping table of metadata is constructed to realize the association and mapping between data.The ontology base of education information is constructed automatically by using the Protege software.According to the standardized representation and operation of educational information ontology,the semantic ontology is used to fuse different educational information to obtain the simplified educational resource ontology base.The data testing verification results of data recommendation algorithm based on Naive Bayes show that the proposed method can ensure the accuracy of education information.
作者
肖知亮
XIAO Zhiliang(Fujian Agriculture and Forestry University,Fuzhou 350002,China)
出处
《现代电子技术》
北大核心
2020年第24期140-143,共4页
Modern Electronics Technique
基金
国家自然科学基金面上项目(71973027)
2018年度福建省本科高校重大教育教学改革研究项目(FBJG20180327)
福建省社会科学规划项目一般项目(FJ2019B090)。
关键词
教育信息
智能数据采集
元数据
本体库构建
数据融合
数据测试
educational information
intelligent data collection
metadata
ontology base construction
data fusion
data testing