Individuation Of Ancient Poetry Based On Knowledge Graph Research On Recommended Methods

Ancient poetry is not only an important part of Chinese teaching in primary and secondary schools,but also an important part of Chinese traditional education.With the continuous enrichment of ancient poetry resources,problems in the following two aspects have become increasingly prominent.First,the ancient poetry resources are seriously fragmented,scattered in the annotation,translation,appreciation and online resources of ancient poetry,and lack of systematization.Secondly,the creation of ancient poetry originates from the historical and cultural background at that time,which makes it difficult for learners to accurately grasp the artistic conception of ancient poetry,and the existing resources lack the support of this aspect.This paper uses the improved Knowledge Graph construction technology to design Knowledge Graph based on ancient poetry image,which provides a new perspective and tool for the study of traditional ancient poetry and is conducive to the spread of traditional Chinese culture.The image-based Knowledge Graph of ancient poetry integrates a large number of fragmented ancient poetry resources in an orderly manner and lays a theoretical foundation for the reasoning and classification of ancient poetry knowledge.Technically,python crawler technology is used to collect ancient poetry resource data,BERT-Bi LSTM-CRF mode is used to realize the entity recognition of ancient poetry image,definition rules and external domain knowledge are used to establish the association between entities,and graph database Neo4 j is used to store Knowledge Graph.In order to verify the validity of the construction of ancient poetry image Knowledge Graph,this paper constructed a cognitive diagnosis model of ancient poetry image,designed an algorithm of ancient poetry image similarity matching,and designed a personalized recommendation algorithm of ancient poetry based on the ancient poetry Knowledge Graph.On the feasibility,through the establishment of learner-poems image model,through the process of poetry is recommended into generating personalized image Knowledge Graph,those ancient cognitive diagnosis,calculate similar degree between image and according to the image of the ancient Chinese poems similar degree to recommend the rules of the classical set four aspects to verify the applicability of the model and the algorithm can be interpreted.The experimental results show that the Knowledge Graph designed in this paper solves the construction of ancient poetry knowledge well and provides a complete and comprehensive knowledge system for learners to learn ancient poetry.This paper proposes a recommendation algorithm to optimize learners’ subsequent learning path based on ancient poetry images,which on the one hand accelerates learners’ learning efficiency,and on the other hand improves learners’ learning system of ancient poetry,thus facilitating the development and dissemination of ancient poetry.