[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,24 284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。
Abstract
[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, 24 284 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
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Key words
agricultural industry /
scientific data /
scientific literature /
data association /
ontology /
industrial chain /
big data
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