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

[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 ag...

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Main Author: CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue
Format: Article
Language:zho
Published: Editorial Department of Journal of Library and Information Science in Agriculture 2022-03-01
Series:Nongye tushu qingbao xuebao
Subjects:
Online Access:http://nytsqb.aiijournal.com/fileup/1002-1248/PDF/1002-1248-2022-34-3-37.pdf
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author CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue
author_facet CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue
author_sort CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue
collection DOAJ
description [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.
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spelling doaj.art-aec9c86fc37942f89e28947d6b298e6a2022-12-22T03:35:41ZzhoEditorial Department of Journal of Library and Information Science in AgricultureNongye tushu qingbao xuebao1002-12482022-03-01343375010.13998/j.cnki.issn1002-1248.21-0574Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural IndustryCHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue01. Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu 610041; ;2. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190; ;3. TAN Rongzhi, Key Laboratory of Mountain Hazards and Earth Surface Process, Chinese Academy of Sciences, Chengdu 610041; ;4. Sichuan Rural Science and Technology Development Center, Chengdu 610042; ;5. Business school, City University of Hong Kong, Hong Kong 999077; ;6. School of Public Administration, Sichuan University, Chengdu 610065[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.http://nytsqb.aiijournal.com/fileup/1002-1248/PDF/1002-1248-2022-34-3-37.pdfagricultural industry|scientific data|scientific literature|data association|ontology|industrial chain|big data
spellingShingle CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue
Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry
Nongye tushu qingbao xuebao
agricultural industry|scientific data|scientific literature|data association|ontology|industrial chain|big data
title Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry
title_full Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry
title_fullStr Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry
title_full_unstemmed Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry
title_short Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry
title_sort research and practice on association of scientific data and scientific literature oriented to knowledge service of agricultural industry
topic agricultural industry|scientific data|scientific literature|data association|ontology|industrial chain|big data
url http://nytsqb.aiijournal.com/fileup/1002-1248/PDF/1002-1248-2022-34-3-37.pdf
work_keys_str_mv AT chaimiaolingzouyixingtanrongzhizengyirenyunyue researchandpracticeonassociationofscientificdataandscientificliteratureorientedtoknowledgeserviceofagriculturalindustry