The Establishment Of Fusangshe

Humanistic historical literature serves as an important collection for information service institutions and is a valuable asset for the construction of socialist core values and spiritual civilization.However,different types of literature resources contain diverse information,and using only one method for knowledge organization is insufficient to present the rich and diverse details.Traditional knowledge organization methods struggle to exhibit the detailed content of humanistic historical literature resources,which hinders users from grasping historical information about individuals on a macro level and conducting quick searches.Moreover,the majority of humanistic historical literature is typically recorded in unstructured textual form,lacking systematicity and semantic meaning,which hampers its in-depth utilization and development.Historical person knowledge graphs offer an effective organizational approach that reflects various aspects of historical figures through structured data.They enhance the convenience,intelligent management,querying,inference,and visualization of historical learning and research,while revealing complex connections among historical individuals and uncovering patterns and values hidden in the data,thereby promoting an understanding of historical development patterns and trends.The research on constructing a knowledge graph of modern historical figures in Guizhou is of great significance for the intelligent development and utilization of literature resources,yet a unified and widely applicable construction method and standard are currently lacking.Based on the aforementioned context,this paper takes the concept of digital humanities as a starting point to delve into the content characteristics of historical literature resources related to historical figures.It reorganizes the fine-grained knowledge elements,focuses on individuals,and supplements them with core features such as events,locations,institutions,and time.It constructs an ontological model of aggregated historical figure resources.On this basis,the paper builds a knowledge graph of modern historical figures in Guizhou,conducts empirical research,and realizes application-layer services such as visual display,semantic retrieval,and knowledge questioning and answering for person-related knowledge content.The aim is to address the issues of "idle" knowledge content,"constrained" thinking,and "lagging" technology in the relevant literature resources of modern historical figures in Guizhou.Based on this,the main research content of this paper is divided into three parts.Firstly,by reviewing domestic and foreign literature,the concepts and theoretical significance related to this study are clarified,and the methods and tools for knowledge graph construction are determined.Secondly,through literature survey methods,the internal and external characteristics of relevant literature resources are summarized,and text analysis is conducted to identify relevant concepts and their relationships.Then,based on existing ontology description languages and ontologies,an ontology model for modern historical figures in Guizhou is designed,and the instantiation process of the knowledge graph is completed through knowledge extraction techniques.Finally,empirical research is conducted on the knowledge graph of modern historical figures in Guizhou.The ontology model,at the schema layer of the knowledge graph,is designed to describe concepts and relationships related to historical figures.At the instance layer,natural language processing and deep learning techniques are applied to extract,integrate,and store knowledge from unstructured data,enabling the visualization of person entities.Based on this,a frontend application platform is built to provide functions such as person knowledge querying,entity recognition,and knowledge questioning and answering.This paper is based on the relevant literature resources of modern historical figures in Guizhou,and it constructs an ontology model from a multidimensional perspective and implements the instantiation of the knowledge graph.The frontend visualization interface is designed with a B/S architecture,realizing a separate frontend and backend application layer service platform.It includes a visual browsing interface for person information,an entity relationship recognition interface,and a knowledge questioning and answering system.This platform meets the users’ needs for visualized querying,knowledge discovery,and knowledge questioning and answering regarding modern historical figures in Guizhou.It not only facilitates scholars and users in utilizing and developing resources related to historical figures but also promotes the transformation and upgrading of historical literature resources from digitization to intelligence.This research provides a feasible and effective method and example for the construction and application of historical person knowledge graphs.It has theoretical and practical significance in promoting the digitalization and intelligence development of humanistic historical resources and facilitating the inheritance and promotion of humanistic spirit.