Research On The Construction Of War Knowledge Map Of Zuozhuan Based On Ontology

Zuozhuan,as an important classic for studying the history of the Spring and Autumn Period,has an important position in the history of the Spring and Autumn Period.The war is a very important part of Zuozhuan,and it is also an important factor in promoting economic and social development at that time and national integration.The war description of Zuozhuan is based on the Spring and Autumn memo,and it completely describes the cause,course and result of the war incident.Modeling and visualizing the Zuozhuan warfare has a good promotion effect on the research of knowledge mining and knowledge discovery in the Spring and Autumn Period.The ancient Chinese language of Zuozhuan made it difficult for us to quickly grasp the content and subject of ancient books.The concept of knowledge map proposed a better solution for us.The knowledge map is a relatively intuitive semantic implementation of this kind of knowledge mining and discovery.The scattered and heterogeneous knowledge elements can be connected in the knowledge map to form a certain logical relationship.This article focuses on constructing the Zuozhuan war knowledge map and realizes the profound disclosure and innovation of ancient texts.This paper attempts to introduce knowledge maps into the field of war and use the semantic relationships in ontology to construct war knowledge maps.This paper sorts out the war incidents in Zuozhuan,analyzes the data collected from relevant data,and determines the purpose and method of ontology construction through comprehensive induction.Based on this,it constructs the Zuozhuan war ontology to achieve The integration and sharing of war-related knowledge.In the process of constructing the ontology,focusing on the grammatical features in the ancient texts,the research on the realization of the ancient text based on the concept of the pattern is based on the analysis of the concept model.Based on the semantic relationship of ontologies,the visualization of the Zuozhuan war knowledge map is further realized.It is hoped to use intuitive expressions to provide clues for the research scholars in knowledge discovery,which will help the study of the history of the Spring and Autumn War.The main content of this article contains the following three parts:(1)The construction of war ontologies.Starting from the part-of-speech features and grammatical sentence structure of the text of Zuozhuan,the text features are analyzed and the concepts and relationships are extracted.It constructs the ontology of war by constructing ontology core concept sets,defining the attributes of the classes,determining the concepts and concepts or the relationships between concepts and attributes,and defining attribute sub-attributes.(2)The realization of ontology-based war knowledge map.This paper adopts two methods for the filling of ontology instances.One is to use the manual filling method based on the syntactic relationship of ancient Chinese,and the second is to use computer processing technology to extract the examples in the Zuozhuan corpus based on automatic matching rules.This paper defines eight rule-based instance extraction modes,and calculates the accuracy,recall rate,and F-value of the eight extraction inodes,respectively,to evaluate the performance of the extraction mode.(3)The application of Zuozhuan war knowledge map.This paper mainly uses two kinds of visual representations of knowledge maps to realize the application of knowledge maps.The first is based on the visual expression of Protege and the simple retrieval of knowledge maps.The second is the use of software tools such as Gephi and Excel to mine and analyze the historical events of Zuozhuan,focusing on the analysis of the state and state of the Spring and Autumn Period recorded in Zuozhuan.The frequency of war,diplomatic relations,and the integration and conflict between ethnic minorities and the Central Plains.Although this paper implements the construction of the Zuozhuan war knowledge map,it adopts a preliminary semi-automatic construction method.In the future learning and research process,the automated extraction of named entities can be achieved by strengthening the training of machine learning methods.The Zuozhuan war ontologies constructed are also relatively thin,and they should improve and supplement the Zuozhuan warfare ontology in the future,providing users with a better Zuozhuan war knowledge map.In addition,the knowledge mining of the Zuozhuan war knowledge map is not deep enough and comprehensive,and the tacit knowledge in the war knowledge map should be analyzed from more angles to achieve multi-angle,all-round knowledge mining and knowledge innovation.