面向技术发展脉络分析的专利引证类时序模型及图谱研究

Patent Citation Class Time Series Model and Map for Technology

对技术发展脉络进行分析有助于精准把脉技术创新方向,有效识别优先发展技术领域。以具有引证关系的专利为数据源,结合引证频次和引证层级提出专利引证相关度计算公式,根据专利引证相关度筛选在技术发展过程中起核心作用的专利作为研究数据集。对该研究数据集进行主题类域划分,引入时间序列,构建技术主题、技术领域和时间序列的三维类时序模型,并基于该模型绘制多维专利引证知识图谱用于多层次技术发展脉络分析。选取挥发性有机物治理技术领域进行实证分析,构建该领域一项技术的专利引证知识图谱,从多个维度分析其发展脉络,发现该技术由分离技术领域、无环或碳环化合物技术领域融合发展而来,从而验证研究方法的有效性。

The analysis of the technology development context is helpful to accurately grasp the direction of technological innovation and effectively identify the priority development technology field.In this study,the patents with citation relationship are used as the data source,and the calculation formula of patent citation relevance is proposed in combination with citation frequency and citation level.According to the patent citation relevance,the patents that play a core role in the process of technology development are selected as the research data set.The research data set is divided into subject domain,and time series is introduced to construct a three-dimensional class time series model of technology theme,technology field,and time series.Based on this model,a multi-dimensional patent citation knowledge map is drawn for multi-level technology development context analysis.The field of volatile organic compounds treatment technology is selected for empirical analysis,and the patent citation knowledge map of a technology in this field is constructed.The development context is analyzed from multiple dimensions.It is found that the technology is developed by the integration of the separation technology field and the acyclic or carbocyclic compound technology field,which verifies the usefulness of this research method.