面向农业产业知识服务的科学数据与科技文献关联研究与实践  

Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry

作　　者：柴苗岭[1,2,3] 邹弈星 谭荣志[3] 曾怡[5] 任运月 CHAI Miaoling;ZOU Yixing;TAN Rongzhi;ZENG Yi;REN Yunyue(Chengdu Documentation and Information Center,Chinese Academy of Sciences,Chengdu 610041;School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190;Key Laboratory of Mountain Hazards and Earth Surface Process,Chinese Academy of Sciences,Chengdu 610041;Sichuan Rural Science and Technology Development Center,Chengdu 610042;Business school,City University of Hong Kong,Hong Kong 999077;School of Public Administration,Sichuan University,Chengdu 610065)

机构地区：[1]中国科学院成都文献情报中心,成都610041 [2]中国科学院大学经济与管理学院,北京100190 [3]中国科学院山地灾害与地表过程重点实验室,成都610041 [4]四川省农村科技发展中心,成都610042 [5]香港城市大学商学院,中国香港999077 [6]四川大学公共管理学院,成都610065

出　　处：《农业图书情报学报》2022年第3期37-50,共14页Journal of Library and Information Science in Agriculture

基　　金：中国科学院“山地灾害与地表过程重点实验室开放基金”;中国科学院文献情报能力建设专项“开放知识资源体系建设(二期)”(Y1755);四川省科技计划国际合作项目“面向知识服务的农业科学数据和科技文献关联融汇服务系统研究与示范”(2017HH0094)。

摘　　要：[目的/意义]为解决当前农业科技管理中广泛存在数据链不完整,数据支撑决策能力不足的情况,本文提出了一套从农业科技管理需求出发的产业知识服务模型,并就其中的关键环节科学数据和科技文献关联进行了研究和实践,以期为图书情报机构服务农业科技管理和产业发展提供理论与实践案例。[方法/过程]本文首先梳理了知识服务和数据关联现状,其次在分析农业科技管理中的产业需求特征和数据管理生命周期的基础上,构建了包含产业特征的知识服务模型,然后以四川农业科学数据和科技文献为基础,从产业要素出发,设计了本体模型和系统,最后完成实践。[结果/结论]研究最后集成20个数据类型,24284条科学数据和科技文献,1个系统平台和1个子平台,建立了多源异构、中英两语种的数据关联,实现了基于产业知识服务的科学数据和科技文献关联和平台交流。研究成果将对农业科技管理与图书情报学跨领域合作,科学数据和科技文献跨部门共享提供借鉴。[Purpose/Significance]In order to solve the problems of incomplete data chain and insufficient data support decision-making ability in agricultural science and technology management,this paper put forward a set of industrial knowledge service model based on the needs of scientific management in agriculture,and completed the key part of the model,the research and practice on association of scientific data and scientific literature.This study will provide theoretical and practical cases for library and information science(LIS)research institutions to serve agricultural science and technology management and industrial development.[Method/Process]Firstly,this paper reviews the current situation of research into knowledge service and data association.Secondly,based on the analysis of characteristics of industrial requirements and data management life cycle in agricultural science and technology management,the paper constructed a knowledge service model with industrial characteristics.Then,based on the agricultural science data and scientific literature of Sichuan Province,the study designed and constructed an ontology model and system based on industrial elements.[Results/Conclusions]20 data types,24284 scientific data entries and related scientific literature were integrated.And we established multi-source heterogeneous data association in 1 system platform and 1 sub-platform with Chinese and English data.The research results will provide reference for cross-field cooperation between agricultural science and technology management and LIS research,and cross-departmental sharing of scientific data and scientific literature.

关 键 词：农业产业 科学数据 科技文献 数据关联 本体 产业链 大数据 

分 类 号：G353.1[文化科学—情报学]