Research And Implementation Of Intelligent Retrieval Technology For Textile Culture Digital Service Platform

Raising the level of public cultural services is of great significance to enhancing the soft power of national culture,and constructing a perfect modern public cultural service system has become a hot spot in the world today.Since textile heritage is a shining jewel in China's heritage,studying the intelligent application of the digital culture service platform for textiles has an important practical significance for improving the level of our public cultural services.Now,the construction of cultural relics digital service platform has made some progress,however,the service platform for textiles is still in its infancy.At the same time,people's demand for intelligent application of service platform in the new era also brought opportunities and challenges to the digital culture service platform for textile culture.Therefore,this paper studies the application of intelligent retrieval technology in textile culture digital service platform.This article first analyzes the research status of cultural relics digital service platform and retrieval technology,aiming at the shortcomings of the traditional word segmentation algorithm in the field of textiles and cultural relics,this paper puts forward the word segmentation technology applicable to the field of textile cultural relics.In the meantime,in view of the low retrieval performance of the existing retrieval models,this paper presents an intelligent retrieval technology suitable for the textile digital service platform.The specific research contents are as follows:1.This article studies the word segmentation for textiles.On the basis of the existing participle universal dictionary,a new vocabulary of textiles field is constructed.And according to the textiles field text characteristics,the feature extraction model of text segmentation in textile field is build.The high accuracy of the method in the field of textiles is demonstrated through experiment.2.This paper studies intelligent retrieval technology of textile digital service platform.For the textile literature has the characteristics of the theme,this paper presents an intelligent retrieval method based on the improved LDA(Latent Dirichlet Allocation)theme model,and implements the intelligent retrieval technology based on the open source framework Lucene.The experiment demonstrate the validity and availability of the model.3.This paper design and implement the textile culture digital service platform.The platform enables integrated management of textile heritage and textile literature,and both background management system and front-end display system are designed.This system uses a visual?interface and has a good user experience.