scholarly journals Relationship between Cloud Pattern and Female during the Ming and Qing Dynasties

Author(s):  
Wen-Jiao Li ◽  
Hui Tao
2021 ◽  
pp. 016555152110221
Author(s):  
Tong Wei ◽  
Christophe Roche ◽  
Maria Papadopoulou ◽  
Yangli Jia

Cultural heritage is the legacy of physical artefacts and intangible attributes of a group or society that is inherited from past generations. Terminology is a tool for the dissemination and communication of cultural heritage. The lack of clearly identified terminologies is an obstacle to communication and knowledge sharing. Especially, for experts with different languages, it is difficult to understand what the term refers to only through terms. Our work aims to respond to this issue by implementing practices drawn from the Semantic Web and ISO Terminology standards (ISO 704 and ISO 1087-1) and more particularly, by building in a W3C format ontology as knowledge infrastructure to construct a multilingual terminology e-Dictionary. The Chinese ceramic vases of the Ming and Qing dynasties are the application cases of our work. The method of building ontology is the ‘term-and-characteristic guided method’, which follows the ISO principles of Terminology. The main result of this work is an online terminology e-Dictionary. The terminology e-Dictionary could help archaeologists communicate and understand the concepts denoted by terms in different languages and provide a new perspective based on ontology for the digital protection of cultural heritage. The e-Dictionary was published at http://www.dh.ketrc.com/e-dictionary.html .


2011 ◽  
Vol 368-373 ◽  
pp. 3571-3574
Author(s):  
Ming Ma ◽  
Hui Hui Zhang

The dwellings of Beizhu in Jiaozuo station is the ancient dwellings of Ming and Qing dynasties. In this paper, the authors research the space form, architectural form, building materials and construction technology after survey. Summarize the characteristics of Jiaozuo Beizhu village traditional houses.


2009 ◽  
Vol 15 (1) ◽  
pp. 61-78 ◽  
Author(s):  
Yan Zuozhi ◽  
Gu Hongyi ◽  
Dai Yangben ◽  
Wu Xuande ◽  
John A. Dearing ◽  
...  

Author(s):  
S. Horache ◽  
F. Goulette ◽  
J.-E. Deschaud ◽  
T. Lejars ◽  
K. Gruel

Abstract. The recognition and clustering of coins which have been struck by the same die is of interest for archeological studies. Nowadays, this work can only be performed by experts and is very tedious. In this paper, we propose a method to automatically cluster dies, based on 3D scans of coins. It is based on three steps: registration, comparison and graph-based clustering. Experimental results on 90 coins coming from a Celtic treasury from the II-Ith century BC show a clustering quality equivalent to expert’s work.


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