基于人机交互的发电知识图谱动态更新研究与应用

Research and Application of Dynamic Update of Power Generation Knowledge Graph Based on Human-Computer Interaction

知识图谱在知识可视化领域具有重要的应用价值。然而,由于图谱数据的实时性较差和数据量的不断增加,往往会产生冗余数据,这会直接影响到知识图谱的质量和可用性。为了解决这个问题,本文设计了一种应用于发电领域的知识图谱动态更新方法。该方法利用Neo4j图数据库的强大图处理能力,实现了知识图谱数据的高效更新,成功地减少了节点重复出现的情况,从而大大提高了更新的准确性。通过对发电设备领域的知识图谱进行动态更新,可以使其中的信息始终保持最新,从而为实际应用提供了强有力的支持。特别是在发电设备的维护、优化等方面,这种及时更新的知识图谱将成为一个极具价值的工具。

Knowledge graphs hold significant value in the field of knowledge visualization.However,the real-time nature of graph data and the continuous increase in data volume often lead to redundant data,directly impacting the quality and usability of knowledge graphs.To solve this problem,this paper designs a dynamic update method for knowledge graphs applied in the field of power generation.Utilizing the robust graph processing capabilities of the Neo4j graph database,the method achieves efficient updates of knowledge graph data,significantly reducing the occurrence of duplicate nodes and thereby greatly enhancing update accuracy.Dynamic updates of the knowledge graph in the field of power generation equipment ensure that the information remains up-to-date,providing strong support for practical applications.Particularly in the maintenance and optimization of power generation equipment,this timely updated knowledge graph becomes a highly valuable tool.