文献类型：会议论文

英文题名：Design and Research of Chinese Traditional Architecture Science Popularization System Based on Knowledge Graph

作者：Li, Cuicui[1];Su, Xiaoqing[1];Chen, Yumiao[1]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, 130 Meilong Rd, Shanghai, Peoples R China

会议论文集：11th International Conference on Culture and Computing (C&C) part of the 25th International Conference on Human-Computer Interaction (HCI)

会议日期：JUL 23-28, 2023

会议地点：Copenhagen, DENMARK

语种：英文

外文关键词：Chinese traditional architecture; Cultural popularization; Image recognition

摘要：In China, traditional architecture has a profound cultural heritage. The variety of traditional Chinese architecture we see today was shaped by thousands of years of cultural accumulation and succession. The country's emphasis on the aspect of cultural inheritance has made people pay attention to the traditional architecture around them, but the public does not have the ability of experts to appreciate architecture, and it is more difficult for them to acquire the background knowledge of architecture. To enable people who are interested in architecture understand the relevant architectural art and history without having a high architectural literacy, this paper designs a Chinese traditional architecture science popularization system. Firstly, we adopted the literature analysis method to clarify the main types and key elements of traditional Chinese architecture. At the same time, the Neo4j was used to store and visualize the collected architectural knowledge. Then, the functions and structure of the architectural science popularization system are clarified through questionnaire survey and KANO model construction. A lightweight and efficient image recognition model is built by Create ML. Based on the Xcode development environment; we used Swift language to realize the human-computer interaction function of the system. In addition, this paper elaborates on the technical route, system framework and implementation process of the Chinese traditional architecture science popularization system in detail. 15 users have used the system for architecture recognition and the reliability of the system has been verified through interviews. Therefore, it can effectively provide professional knowledge of architecture science popularization for users, and provides a new way for the science popularization of traditional Chinese architecture.