Study On Knowledge Retrieval And Construction Of Political Discipline Knowledge Graph Based On Ontology

With the development of computer-related technologies,the application of big data and artificial intelligence has brought us a lot of convenience in our study and life.As a branch of artificial intelligence,knowledge graph has also ushered in rapid development.Knowledge graph is the representation of knowledge in the objective world into knowledge that can be processed by computers,and links all knowledge together to form a semantic network.With the development of "Internet +",the education field is paying more and more attention to the informationization of knowledge.It is a trend to convert book knowledge into machine-understandable knowledge.The knowledge graph can re-represent the knowledge through relevant technology to enhance the logic and relevance between knowledge and realize the intelligent retrieval question and answer of the knowledge in the domain.Knowledge graph can also logically reason related knowledge according to certain rules,and make data become meaningful and valuable knowledge.In this thesis,using the technology of knowledge graph,the construction of knowledge graph and knowledge retrieval of political discipline in junior high school and senior high school are studied.According to the analysis of related technology,the knowledge graph of political discipline has been constructed,and the intelligent retrieval of related political issues has been realized.By optimizing the knowledge retrieval mechanism,the correct rate of question and answer of political discipline has been improved.The main work of this thesis includes:1)Through the study of ontology modeling,this thesis constructs the ontology model of political discipline,completes the construction of political core knowledge graph by tagging electronic books,expands the external data by crawler technology,and finally stores all knowledge in the database according to the specific form of representation,thus the knowledge graph of political discipline has been formed.2)This thesis puts forward a knowledge retrieval mechanism,which realizes basic knowledge retrieval by constructing attribute template and self-defined dictionary.For the cases of some false retrieval and missed retrieval in knowledge retrieval,this thesis adds Some ways,such as alternative templates and alternative keywords,have improved and optimized the knowledge retrieval mechanism.3)In this thesis,the corresponding experimental analysis of knowledge graph construction and knowledge retrieval mechanism is carried out.Through the display of the completed political discipline knowledge graph,the visualization of the knowledge graph is completed,and the association and corresponding attributes between the knowledge points can be seen relatively clearly and intuitively.Through the experimental test analysis of knowledge retrieval,it is concluded that the optimization and improvement of knowledge retrieval can improve the accuracy of knowledge retrieval.