【作者】 刘明；

【导师】 芦鹏宇；

【作者基本信息】 哈尔滨工业大学 ， 管理科学与工程， 2023， 硕士

【摘要】 我国经济进入高质量发展阶段,政府和企业逐渐开始推动传统产业进行数字化转型升级,随着数字经济的发展,带来了数字产业化和产业数字化。大数据、人工智能、云计算等新一代信息技术也逐渐普遍应用在产业链的各个环节中。知识图谱作为人工智能的基石,逐渐开始应用在产业链领域,辅助政府和企业进行产业链的分析应用和决策支持。本文提出产业链知识图谱构建方法,并在产业链知识图谱基础上进一步提出产业链要素的影响路径模型,实现产业链要素影响的分析计算。首先,本文从产业链理论出发,从供需链维度对产业链要素及要素间的关系进行分析,并根据分析结果构建产业链知识图谱本体模型。接着在本体模型的基础上,提出了数据采集和处理、实体填充和存储的方法,实现产业链知识图谱数据层的构建。其次,本文提出了基于知识图谱的产业链要素影响路径模型。该模型通过对产业链要素影响力的量化计算,影响传导模型,以及影响路径查找算法,完成产业链要素对上下游的影响路径分析计算。最后,本文以新能源汽车产业链为例,通过模拟数据构建新能源汽车产业链知识图谱,使用产业链要素影响路径模型完成供应活动、商品、企业等要素对上下游的影响路径分析。并对计算结果进行总结,同时针对本方法在政府和企业等不同场景中应用的意义进行讨论。更多还原

【Abstract】 China’s economy has entered a stage of high-quality development,and the government and enterprises are gradually promoting the digital transformation and upgrading of traditional industries.With the development of the digital economy,digital industrialization and industry digitization have emerged.New generat ion information technologies such as big data,artificial intelligence,and cloud computing are gradually being widely applied in various links of the industrial chain.As the cornerstone of artificial intelligence,knowledge graphs are gradually being applied in the field of industrial chains to assist governments and enterprises in analyzing,applying,and supporting decision-making in the industrial chain.This article proposes a method for constructing an industrial chain knowledge graph,and further proposes an influence path model for industrial chain elements based on the industrial chain knowledge graph,achieving analysis and calculation of the influence of industrial chain elements.Firstly,starting from the theory of industrial chain,this articl e analyzes the elements of the industrial chain and the relationships between them from the supply chain dimension,and constructs an ontology model of the industrial chain knowledge graph based on the analysis results.Subsequently,based on the ontology model,methods for data collection and processing,entity filling and storage were proposed to construct the data layer of the industrial chain knowledge graph.Secondly,this dissertation proposes a knowledge graph based model for the influence path of industrial chain elements.This model completes the analys is and calculation of the influence path of industrial chain elements on upstream and downstream by quantitatively calculating the influence of industrial chai n elements,conducting an influence transmission model,and finding an influence path algorithm.Finally,taking the new energy vehicle industry chain as an example,this dissertation constructs a knowledge graph of the new energy vehicle industry chain through simulated data,and uses the industry chain factor influence path model to complete the analysis of the influence path of supply activities,commodities,enterprises and other factors on upstream and downstream.Summarize the calculation results and discuss the significance of applying this method in different scenarios such as government and enterprises.更多还原