A Framework for Scientific and Technological Talent Selection Integrating Knowledge Graph and Multi-Criteria Decision-Making
Wang Xuefei1, Wu Kongyi1, Chen Chunzai1, Li Nan2
1. Information Center of Ministry of Natural Resources of the P.R.C,Beijing 100036,China; 2. Human Resources Development Center,Ministry of Natural Resources,Beijing 100045,China
Abstract：To address the“Four-Only”tendency(prioritizing only papers,professional titles,academic degrees and awards above all else)in traditional scientific and technological talent evaluation,this study proposes a talent selection framework integrating knowledge graph and multi-criteria decision-making.Based on talent persona theory,the framework uses knowledge graph techniques to integrate multi-source heterogeneous talent data,and combines the Analytic Hierarchy Process(AHP)with TOPSIS to evaluate candidates.A case study and comparative validation based on anonymized application data show that the framework better identifies technology-oriented and task-oriented talent aligned with position requirements than traditional bibliometric evaluation.It also explains ranking results through knowledge graph tracing and indicator weights.The findings suggest that the framework is operational and interpretable,providing methodological support for shifting talent evaluation from publication-oriented assessment to contribution-oriented assessment.
[1] 邵学清,卢阳旭:以科技强国建设牵引教育科技人才一体化发展[N],新华网,2025-03-19. [2] 为全面推进强国建设、民族复兴伟业提供有力人才支撑:学习《习近平关于人才工作论述摘编》[N],人民日报,2024-05-17. [3] 习近平出席中央人才工作会议并发表重要讲话[N],新华社,2021-09-28. [4] 习近平:深入实施新时代人才强国战略 加快建设世界重要人才中心和创新高地[N],共产党员网,2021-12-15. [5] 坚决克服“五唯”痼疾[N],人民网,2018-09-19. [6] 王一江,彭剑锋.人才画像构建与应用场景[J].企业管理,2025(6):87-91. [7] 路江涌,张月强:人工智能时代的人力资源精准管理[N],清华管理评论,2023-12-13. [8] 关于开展科技人才评价改革试点 的工作方案[EB/OL].(2022-09-23)https://www.bj-talents.cn/upload/file/20240709/f953e24107764d5b84c7f417a92bcb3e.pdf. [9] 李维思,文晓芬,李贵龙,等.基于三层数据治理的青年科技人才知识图谱构建与应用实践:以湖南省科技管理系统青年科技人才为例[J].现代情报,2024,44(10):103-114. [10] 李楠,黄晶.国际组织人才画像库:从大数据视角定量研究国际组织人才特征[J].情报杂志,2025(12):187-194. [11] 张侨.人才需求精准画像研究[D].武汉:华中师范大学,2023. [12] 熊回香,景紫薇,杨梦婷.在线学术资源中知识图谱的应用研究综述[J].情报资料工作,2020,41(3):61-68. [13] Sahoo S K,Goswami S S.A comprehensive review of multiple criteria decision-making(MCDM)methods:advancements,applications,and future directions[J].Decision Making Advances,2023,1(1):25-48. [14] Garg D,Sidhu J,Rani S.Improved TOPSIS:a multi-criteria decision making for research productivity in cloud security[J].Computer Standards & Interfaces,2019,65:61-78. [15] Alghofaili Y,Rassam M A.A trust management model for IoT devices and services based on the multi-criteria decision-making approach and deep long short-term memory technique[J].Sensors,2022,22(2):634. [16] Omerali M,Kaya T.Augmented reality application selection framework using spherical fuzzy COPRAS multi criteria decision making[J].Cogent Engineering,2022,9(1):2020610. [17] Vaidya O S,Kumar S.Analytic hierarchy process:an overview of applications[J].European Journal of operational research,2006,169(1):1-29. [18] Choudhary D,Shankar R.An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location:a case study from India[J].Energy,2012,42(1):510-521. [19] Sindhu S,Nehra V,Luthra S.Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis:case study of India[J].Renewable and Sustainable Energy Reviews,2017,73:496-511. [20] Kusumawardani R P,Agintiara M.Application of fuzzy AHP-TOPSIS method for decision making in human resource manager selection process[J].Procedia computer science,2015,72:638-646. [21] Hirsch J E.An index to quantify an individual's scientific research output[J].Proceedings of the National academy of Sciences,2005,102(46):16569-16572. [22] Egghe L.Theory and practise of the g-index[J],2006,69(1):131-152.
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