Research On The Construction Of Knowledge Graph For The Chronology Of Historical Figures By Digital Humanities

Under the impetus of digital humanities,traditional humanities resources research has gradually shifted to digitization and informatization,and historical figures’ chronicle resources are in urgent need of a new and effective knowledge organization method to uncover the knowledge connotations in the chronicle,so that historical figures’ chronicle resources can be given new vitality.Therefore,digital research and knowledge reconstruction of historical figures’ chronicles is the key to deepen the innovative research of historical figures’ chronicles,and knowledge mapping,as an important entry point for knowledge reconstruction research,has a high degree of information organization and semantic compatibility,which can meet the knowledge reconstruction related to the textual content of historical figures’ chronicles.This paper will adopt knowledge mapping technology for knowledge reconstruction of historical figures’ chronicles,take case studies as the entry point,and explore the problem of constructing knowledge maps for historical figures’ chronicles on the basis of analyzing the characteristics of historical figures’ chronicle resources and users’ needs;cover aspects such as knowledge acquisition of historical figures’ chronicle resources,ontology model construction and storage of knowledge maps,and finally realize the practical application of knowledge maps for historical figures’ chronicles The paper provides new ideas for the digital research and personalized information retrieval services of historical figures’ chronicles.The key research work of this paper is as follows.(1)Focus on analyzing the characteristics of the research source data,adopting various textual analysis methods such as content analysis and social network analysis to deeply analyse the data resources,revealing the characteristics and intrinsic associations of the research case resources,and on this basis extracting the knowledge entity units of the chronicle resources,storing them in a standardized format and forming a standard dataset to provide data units for subsequent knowledge graph modelling.(2)Constructing the knowledge ontology model of the chronicle of historical figures and completing the preliminary construction of the knowledge graph model of the chronicle of historical figures.According to the results of data characteristics and content analysis,the relationship between entity knowledge units is defined,the semantic description of the hierarchy and connotation of concepts of the model is adopted in the OWL language,the relationship attributes and data attributes between the concepts and concepts of the chronicle of historical figures are defined,the knowledge description system of the resources of the chronicle of historical figures is completed,and the representation and instantiation display of the knowledge ontology model of the chronicle of historical figures is realized.(3)Analyzing users’ knowledge retrieval and service demands for biographical resources,completing the storage and visualization of the knowledge graph of the chronicle of historical figures,and constructing a relevant knowledge retrieval module by combining the Cypher query function in the graph database,realizing a knowledge retrieval and visualization platform based on the knowledge graph of the chronicle of historical figures,and providing users with retrieval services for the chronicle resources of historical figures;further broaden the research channels of digitization and paternalization of the chronicle resources of historical figures,improve the utilization rate of the chronicle resources of historical figures,and promote the deep excavation and utilization of the chronicle resources of historical figures.