AI-based experts’ knowledge visualization of cultural heritage: A case study of Terracotta Warriors

赤陶 文化遗产 可视化 考古 工程类 历史 机械工程
作者
Siyi Li,Yue Jiang,Bowen Jing,Liujie Yang,Yuhe Zhang
出处
期刊:Journal of Cultural Heritage [Elsevier BV]
卷期号:72: 81-90 被引量:5
标识
DOI:10.1016/j.culher.2025.01.006
摘要

• This study constructs a dataset of Terracotta Warriors from Pit No. 1, encompassing 10 attributes of 1,087 warriors. • Various AI-based methods are employed to augment and process the dataset, enabling the extraction of key attribute information. • Several visualization techniques are utilized to visually interpret experts’ knowledge of cultural heritage. Advancements in 3D modeling, digital display technologies, and the growing availability of digital cultural heritage data have significantly improved the accuracy of heritage depictions and expanded opportunities for analysis. However, while many studies focus on presenting specific cultural heritage figurines, an often overlooked aspect is the visualization of the Terracotta Warriors as a unified entity. This involves concisely representing the distribution of features and their relationships, providing a clear and insightful presentation that engages practitioners, academics, and wider audiences. To tackle the challenges mentioned above, this research seeks to explore the application of AI methods in processing cultural heritage data. It aims to optimize and augment the dataset, analyze the distribution and relationships of various attributes, and interpret the analysis results through visualization techniques. The Terracotta Warriors, among China’s most significant cultural heritages and renowned for their abundance, exquisite workmanship, and magnitude, are chosen as a case study . The contribution of this paper is primarily twofold. Firstly, we constructed a dataset of Terracotta Warriors from Pit No. 1, detailing the attributes significant for identifying different Terracotta Warriors. Secondly, we employ various AI methods, such as generative adversarial network(GAN) and random forest , to process and analyze these attributes, followed by visualizing the analysis results for an intuitive presentation. This study introduces a novel scheme for presenting information on a collection of cultural relics, offering a practical case for analyzing and visualizing the Terracotta Warriors’ attributes as a whole entity, rather than showcasing individual relics’ information in isolation. This approach can be applied to other cultural heritage artifacts, such as Chinese ceramics, and supports further multidisciplinary research , including AI-based cultural heritage analysis, processing, and presentation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
李健的小迷弟应助shanglei采纳,获得10
1秒前
南风完成签到,获得积分10
2秒前
QQQQQQQ完成签到 ,获得积分10
4秒前
爱沉淀的太阳花完成签到,获得积分10
6秒前
betty2009完成签到,获得积分10
14秒前
无花果应助欧克采纳,获得10
16秒前
cherry完成签到,获得积分10
17秒前
果酱完成签到,获得积分10
18秒前
David完成签到 ,获得积分10
18秒前
情怀应助巴不象采纳,获得10
19秒前
滴滴答答完成签到 ,获得积分10
21秒前
25秒前
欧克发布了新的文献求助10
28秒前
不爱学习完成签到 ,获得积分10
28秒前
kiterunner完成签到,获得积分0
29秒前
YQ完成签到 ,获得积分10
29秒前
cdercder应助zltian采纳,获得10
31秒前
短腿小柯基完成签到 ,获得积分10
32秒前
32秒前
健忘香彤完成签到,获得积分10
35秒前
柳橙完成签到 ,获得积分10
36秒前
shanglei发布了新的文献求助10
38秒前
太阳完成签到,获得积分10
40秒前
动听的平露完成签到,获得积分10
42秒前
Jason完成签到 ,获得积分10
43秒前
44秒前
黎黎完成签到 ,获得积分10
46秒前
shanglei完成签到,获得积分10
48秒前
行云流水发布了新的文献求助10
49秒前
慧子发布了新的文献求助10
50秒前
搜集达人应助科研通管家采纳,获得20
51秒前
laoxie301发布了新的文献求助10
54秒前
科研民工完成签到,获得积分10
54秒前
BAEK完成签到,获得积分10
55秒前
xy完成签到,获得积分10
58秒前
cmuzxy完成签到,获得积分10
1分钟前
1分钟前
sdbz001完成签到,获得积分0
1分钟前
阿佳great完成签到 ,获得积分10
1分钟前
隐形曼青应助慧子采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7778444
求助须知:如何正确求助?哪些是违规求助? 9318783
关于积分的说明 20366209
捐赠科研通 7365553
什么是DOI,文献DOI怎么找? 3319210
关于科研通互助平台的介绍 2467170
邀请新用户注册赠送积分活动 2334659