Traditional skills belong to the category of intangible cultural heritage,including handicraft knowledge accumulated and inherited by local working people in historical practice.The unique geographical environment of Ba Shu region and the situation of ethnic minorities living have created the splendid Ba Shu traditional skills.However,the diversity of Ba Shu traditional skills and other characteristics make it more difficult to display and spread,which is difficult to meet the knowledge needs of the public.It is not conducive to the inheritance and development of traditional skills in the long term.Based on this,this paper put forward the research question: how to meet the public’s knowledge demand for traditional skills,and show the connotation and relevance of Ba Shu traditional skills in multiple dimensions?In order to solve this problem,this paper intended to use knowledge graph technology to realize the in-depth mining and visual display of Ba Shu traditional skills knowledge.Firstly,the text data is crawled as the data source of knowledge display.After text analysis,the first impression of Ba Shu traditional skills has displayed,and the corpus features have been analyzed.Secondly,the knowledge model has been extracted according to the results of knowledge classification.Then,the data storage technology route c compared and selected.According to the knowledge model and the actual data,the data model has been designed and the data set has been constructed,and the data has been imported into the graph database.Finally,based on graph data,the visualization display service and knowledge retrieval service have been provided for users in the form of knowledge graph to meet their knowledge needs.This paper generated a highly structured data set of Ba Shu traditional skills,a general knowledge model of Ba Shu traditional skills and a knowledge graph of Ba Shu traditional skills providing a variety of knowledge services which based on neo4 j graph database technology.The first disadvantage of this paper is the small amount of existing data,and the second one is with the continuous publication of new projects,the data set needs to be maintained continuously.Therefore,this paper in order to strive to expand the scale of knowledge and enhance the reusability of existing routes in the future.Based on the representativeness of traditional skills,the research method proposed in this paper has reference value. |