摘要
[目的 /意义]针对大数据环境下农业科技知识服务供需脱节的问题,研究设计"数据+需求"双轮驱动的知识服务供给模式。[方法 /过程]构建面向不同应用场景的敏捷型知识服务系统模型,及以多源异构农业科技知识大数据汇聚、知识计算和智能服务为链条的技术支撑体系。[结果 /结论]研制了"普惠+专题+定制"的多场景农业专业知识服务系统,破解农业科技知识大数据整合及精准智能服务等关键技术难题,为多类型、多层次、多学科用户提供差异化、精准、深入的知识服务。笔者所在团队构建的农业专业知识服务系统为解决当前知识服务供需矛盾以及知识服务领域普惠需求和个性化需求难以兼顾的难题提供了一种可操作性路径。
[Purpose/Significance] To solve the problem of unbalanced supply and demand of agricultural Sci-Tech knowledge services in the big data environment, this paper proposed a "data + demand" driven knowledge service supply model. [Method/Process] The proposed model contains a knowledge service system model for different application scenarios and a technical supporting system with convergence of multi-source heterogeneous agricultural science and technology big data, knowledge computing and intelligent services as links. [Results/Conclusions] We developed a multi-scenario agricultural knowledge service system characterized as "Inclusive + Specialized + Cus tomized", by addressing the key technologies of agricultural Sci-Tech big data integration and knowledge service,and thus provided differentiated, accurate and in-depth knowledge services for users of multiple types, levels and disciplines. The agricultural knowledge service system helps address the contradiction between supply and demand of knowledge services, and meet the need of inclusive & personalized knowledge service simultaneously to a certain extent.
作者
赵瑞雪
李娇
张洁
张丹丹
ZHAO Ruixue;LI Jiao;ZHANG Jie;ZHANG Dandan(Agnicultual Information Institute ofCAAS,Bijing 100081)
出处
《农业图书情报学报》
2020年第1期4-11,共8页
Journal of Library and Information Science in Agriculture
基金
“中国农业科学院科技创新工程”项目(项目编号:CAAS-ASTIP-2017-AII)
中国工程科技知识中心建设项目“农业专业知识服务系统”(项目编号:CKCEST-2019-1-1).
关键词
农业科技大数据
知识服务
专题服务
个性化服务
agricultural Sci-Tech big data
knowledge service
specialized service
personalized service
