CAJ | 학술논문

药用植物研究是一门数据量巨大而又复杂的学科，大量专业的研究数据不仅难于记忆查找，而且也不利于成果的深度开发利用。通过设计开发药用植物研究成果管理平台，将大数据技术等现代互联网技术引进到药用植物研究领域，把药用植物研究过程中产生的数据、资料、图片等结构化及非结构化的研究成果存储到管理平台中并通过数据整理、清理、装载、转换等大数据算法技术进行数据挖掘分析形成规范化、模块化的数据仓库，最终在平台中提供数据采集、统计查询、分析预测等功能服务，为药用植物研究成果的管理提供科学有效的办法，创造更高的社会价值。
약용식물연구시일문수거량거대이우복잡적학과，대량전업적연구수거불부난우기억사조，이차야불리우성과적심도개발이용。통과설계개발약용식물연구성과관리평태，장대수거기술등현대호련망기술인진도약용식물연구영역，파약용식물연구과정중산생적수거、자료、도편등결구화급비결구화적연구성과존저도관리평태중병통과수거정리、청리、장재、전환등대수거산법기술진행수거알굴분석형성규범화、모괴화적수거창고，최종재평태중제공수거채집、통계사순、분석예측등공능복무，위약용식물연구성과적관리제공과학유효적판법，창조경고적사회개치。
Medicinal Plant Research is a huge and complex amount of data subjects, data is not only a large number of professional studies find difficult to remember, but not conducive to the depth of exploitation outcomes. Through the design and development of medicinal plants research management platform, big data technology and other modern Internet technology into the field of medicinal plant research, the study of medicinal plant research data generated in the process, information, pictures and other structured and unstructured results of stored data management platform and through consolidation, cleaning, loading, and other large data conversion technology for data mining algorithms analyze a standardized, modular data warehouse, ultimately providing data collection, statistical inquiry, analysis and forecasting services and other functions in the platform providing scientific and effective way to manage medicinal plants research and create a higher social value.