检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:张丹丹 赵瑞雪[1,2] 王剑 鲜国建[1,3] 黄永文[1,2] ZHANG DanDan;ZHAO RuiXuel;WANG Jian;XIAN GuoJian;HUANG YongWen(Agricultural Information Institute of Chinese Academy of Agricultural Sciences,Beijing 100081,P.R.China;Key Laboratory of Knowledge Mining and Knowledge Services in Agricultural Converging Publishing,National Press and Publication Administration,Beijing 100081,P.R.China;Key Laboratory of Agricultural Big Data,Ministry of Agriculture and Rural Affairs,Beijing 100081,P.R.China)
机构地区:[1]中国农业科学院农业信息研究所,北京100081 [2]国家新闻出版署农业融合出版知识挖掘与知识服务重点实验室,北京100081 [3]农业农村部农业大数据重点实验室,北京100081
出 处:《数字图书馆论坛》2023年第10期71-78,共8页Digital Library Forum
基 金:科技创新2030——“新一代人工智能”重大项目“农业智能知识服务平台研发与应用示范”(编号:2021ZD0113705)资助。
摘 要:针对数据密集型科研范式下农业领域数据密集型计算服务能力不足的问题,研究设计集泛在智能知识服务与专业领域计算服务于一体的数字科研知识服务模式。调研分析国内外数字科研基础设施与数字科研平台建设经验,剖析数据密集型农业科研的新特征和知识服务需求,从基础设施层、数据层、关键技术层、核心功能层和服务层5个层面阐述数据密集型农业科研服务平台的架构方案,并给出面向作物计算育种知识服务的数字科研平台设计实例。以期为数据密集型农业科研平台的研发和应用场景的落地提供参考,为支撑数据密集型农业科研创新提供可借鉴的知识服务路径。Aiming at the insufficiency of data-intensive computing service capability in the agricultural field under the data-intensive scientific research paradigm,a digital scientific research knowledge service model integrating universal intelligent knowledge service and professional computing service is researched and designed.We investigate and analyze the construction experience of digital scientific research infrastructure and digital scientific research platform at home and abroad,and analyze the new characteristics of data-intensive agricultural scientific research and knowledge service requirements.From the five levels of infrastructure layer,data layer,key technology layer,core function layer,and service layer,an architecture scheme of data-intensive agricultural scientific research service platform is expounded,and a design example of crop computational breeding knowledge service oriented digital scientific research platform is given.This study provides references for the research and development of data-intensive agricultural scientific research platform and the landing of application scenarios,and provides a referable knowledge service path for supporting data-intensive agricultural scientific research innovation.
关 键 词:农业数字科研平台 数据密集型科研 知识服务 平台架构
分 类 号:G647.25[文化科学—高等教育学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7