Tourism Souvenir Design Based on Knowledge Graph and CAD Technology

Abstract

Tourist souvenirs have always been tangible memories left by tourists during their travels. They not only represent the cultural characteristics of the place of purchase but also reflect the value of the souvenirs themselves, making them an indispensable part of tourism resources. Tourism souvenirs, to a certain extent, reflect the local tourism image and play an important role in helping to spread regional culture and improve regional economic growth. With the improvement of the national economic environment, people are increasingly pursuing a combination of spiritual and material experiences. Tourism souvenirs can meet people's special requirements for spiritual needs and also change the original added value of the product. This article also studies the knowledge management of tourism souvenir design based on knowledge graphs and deep learning algorithms from the above background and explores the process and practical application effects of tourism souvenir design using CAD computer-aided design technology. Firstly, explore the quantity of research on tourism souvenirs from the perspective of bibliometric visualization of knowledge graphs, and use knowledge graph software and Chinese word segmentation to analyze data on time and keywords. Secondly, using deep learning algorithms to optimize the segmentation model, a knowledge management question and answer system related to tourism souvenir design is constructed. Finally, CAD computer-aided design technology was used to optimize the design of tourism souvenirs, and the practical application effects of the optimized souvenir design were explored. Integrate multiple tourism resources and analyze the innovative path of tourism souvenir design. Research has shown that the number of research on knowledge related to tourism souvenir design is increasing, and the visualization effect of knowledge graphs is significant. The application effect of tourism souvenir design assisted by CAD technology has been loved and supported by users.