Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry
2022
CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue
[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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