Abstract:

The utilization of big data and other technical means to comprehensively assess the multifaceted value of academic achievements has become an important objective for the academic evaluation in China in recent years. Academic knowledge graph, as an increasingly mature semantic organization technology, provides innovative approaches to achieving this objective. This paper first identifies the information organization needs in different dimensions of the evaluation research scenarios,guided by the Academic All-round Evaluation System. This paper then analyzes the feasibility of applying academic knowledge graph to academic achievement evaluation. In light of the scenario-based information needs, we put forward a framework for the construction of academic knowledge graphtailored to these evaluation scenarios, addressing both content and technical dimensions. Furthermore, the study outlines a targeted mapping construction framework that aligns with the current reform of China’sacademic evaluation. This is intended to provide reference for the development and implementation of auxiliary tools for the evaluation of China’s academic achievements, offering more comprehensive andaccurate data support for the evaluation and advancing the reform and development of Chinese evaluation of academic achievements from the perspective of information organization.