摘要
为了探寻课堂协作建构绿色食品产业知识本体的新路,明确绿色食品产业术语知识本体为目标;分步骤精心筛选术语,大概率事件通过机器学习验证,小概率事件通过人机交互验证,特殊例外通过专家知识获取验证;发挥课堂教学与网络科技的优势,线上线下结合反复测试。结果表明:师生合作与人机协作可持续地改进并优化绿色食品产业知识模块精加工与智能化文本分析技术,以此为例加速高职教育信息化和智能化进程。基于课堂的特定学科领域知识本体的建构过程,应用大数据人工智能信息处理技术,提升高职教育信息化和智能化水准。
This paper aims to explore a new approach for classroom collaboration to construct the knowledge ontology of green food industry.The goal of the green food industry terminology is defined.Furthermore,the terminology is carefully screened in steps.The first type is a large probability event,which is verified by machine learning.The second type is a small probability event,which is verified by human-computer interaction.The third type is a special exception,which is verified by expert knowledge.Taking advantage of teaching and network technology,we combine online and offline testing.The result is that teacher-student cooperation and human-computer collaboration can continuously improve and optimize the green food industry knowledge module finishing and intelligent text analysis technology.Taking this as an example,we accelerate the informationization and intelligentization process of higher vocational education.Big data artificial intelligence information processing technology is applied in the construcation process of knowledge ontology based on specific subject areas in the classroom to improve the informationization and intelligentization level of higher vocational education.
作者
李剑
杨蔷
邹晓辉
Li Jian;Yang Qiang;Zou Xiaohui(Sichuan Technology and Business College, Chengdu 611830, Sichuan, China;Sino-American Research Center, Beijing 100871, China)
出处
《计算机应用与软件》
北大核心
2019年第6期71-75,共5页
Computer Applications and Software
基金
中美合作创新基金项目(SSRC2018-2019-01b)
关键词
大数据
绿色食品
知识本体
Big data
Green food
Knowledge ontology
