数字农科院2.0

面向ESI研究前沿数据的学科领域自动分类方法——以农业领域为例

文献类型： 中文期刊

关键词： ESI 研究前沿;; 自动学科分类;; 期刊学科分类;; 核心论文;; 农业领域

期刊名称：农业展望

ISSN： 1673-3908

年卷期： 2021 年

页码：

收录情况： 农林核心（2020版）

摘要： 在现有ESI 数据库学科分类体系中， 如何高效地从内容层面对其研究前沿数据进行特定学科领域的标引与 分类， 是当前基于ESI 数据深入开展领域研究前沿挖掘与分析研究的关键。为解决这一问题， 提出了一种面向ESI 研究 前沿数据的学科领域自动分类方法， 该方法借用了期刊学科分类思想， 考虑了学科领域核心论文的贡献度及影响度两 方面因素， 并以农业领域为例开展了实证分析。分析结果表明， 研究前沿自动分类方法具有较高的类目识别度及实用 性， 有助于科研工作者进行有效的研究前沿挖掘分析， 帮助科研管理者和政策制定者制定科技战略发展规划， 推进前 沿科技创新。

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