融入科研论文语义知识的青年科技创新人才识别方法研究

Research on Identification Method of Young Scientific and Technological Innovators Incorporating Semantic Knowledge of Scientific Research Papers

[目的/意义]青年科技创新人才是国家创新发展驱动的重要力量,本文旨在构建一个融入科研论文语义知识的青年科技创新人才识别指标体系,以弥补现有评价体系中以计量指标和同行评议为主的局限。[方法/过程]采用数据驱动的思想和方法,结合自然语言处理技术对科研论文语义知识进行计算,量化对科研论文语义知识的定性评价,结合传统的计量指标,构建识别青年科技创新人才的产出新颖性、项目课题契合度及科研活跃度等指标。选取图情领域的青年情报科学家作为实证对象,验证指标体系的可行性和有效性。[结果/结论]产出新颖性通过语义知识区分度和语义知识相似度衡量,青年科技创新人才表现出较大的语义知识区分度,相似度分析则显示其研究与核心期刊的主题相关。项目契合度分析确认了研究内容与国家基金项目的高度一致性,反映了研究的社会价值和战略契合度。基于近3年发文与近5年发文之比的科研活跃度评估,揭示了青年科技创新人才近期具有持续的科研投入和产出。指标体系的建立,为全面评价青年科技创新人才提供了一种新的视角和方法,有助于更准确地识别和支持青年科技创新人才的发展。

[Objective/Significance] Young scientific and technological innovation talents are an important force for national innovation and development drive, this paper aims to construct a system of indicators for identifying young scientific and technological innovation talents incorporating the semantic knowledge of scientific research papers, in order to make up for the limitations of the existing evaluation system which is mainly based on measurement indicators and peer review. [Method/Process] Data-driven ideas and methods are adopted to quantify the qualitative evaluation of the semantic knowledge of scientific research papers by calculating the semantic knowledge of scientific research papers in combination with natural language processing technology,and to construct the indicators for identifying young scientific and technological innovation talents in terms of the novelty of their outputs, the degree of project-topic fit, and the degree of scientific research activity by combining with the traditional metrics. In this study, young intelligence scientists in the field of graphic intelligence are selected as empirical objects to verify the feasibility and effectiveness of the indicator system. [Results/Conclusions] Output novelty are measured by semantic knowledge differentiation and semantic knowledge similarity, and young STI talents usually show greater innovation in semantic knowledge differentiation,while similarity analyses show that their researches are closely related to the topics of core journals. Project fit analysis confirms the high degree of consistency between the research content and the national fund projects,reflecting the social value and strategic fit of the research. Research activity, which is assessed by the ratio of articles published in the last three years to those published in the last five years, reveals that young scientific and technological innovation talents have sustained scientific research input and output in the recent years. The establishment of the indicator system provides a new perspective and method for the comprehensive evaluation of young scientific and technological innovation talents, which helps to identify and support the development of young scientific and technological innovation talents more accurately.