Ontology Construction of Digitization Domain for Ancient Architecture

Author:

Wang Yuxuan12ORCID,Dong Youqiang1ORCID

Affiliation:

1. School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China

2. International Joint Laboratory of Safety and Energy Conservation for Ancient Buildings, Ministry of Education, Beijing 102616, China

Abstract

This article proposes a method for ontology construction in the field of ancient architecture digitization with the aim of addressing the lack of formalization, sharing, and reusable unified description mechanisms currently observed in the field of ancient architecture digitization. This method defines the related concepts, attributes, and relationships between concepts in the digitization of ancient architecture. It employs the network ontology language OWL to model the ontology in the digitization domain of ancient architecture and realizes the visualization of the ontology in the digitization domain of ancient architecture, thereby providing effective support for the sharing and reuse of digitization knowledge of ancient architecture. Finally, an example of a wooden tower is taken to verify the effectiveness and reliability of the proposed method.

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation Project—Municipal Education Commission Joint Fund

Beijing Municipal Education Commission Scientific Research Project—Science and Technology Plan General project

Beijing University of Civil Engineering and Architecture

Publisher

MDPI AG

Reference23 articles.

1. The State Council (2019). Circular of the State Council on Verifying and Announcing the Eighth Batch of Major sites protected for Their Historical and Cultural value at the National Level. Gaz. State Counc. People’s Repub. China, 30, 9–37.

2. Chai, X., Dong, Y., and Li, Y. (2022). Waterlogging Assessment of Chinese Ancient City Sites Considering Microtopography: A Case Study of the PuZhou Ancient City Site, China. Remote Sens., 14.

3. Natural Disaster Risk Monitoring for lmmovable Cultural Relics Based on Digital Twin;Li;J. Geod. Geoinf. Sci.,2024

4. A framework for the simplified risk analysis of cultural heritage assets;Pereira;J. Cult. Herit.,2016

5. Dong, Y., Hou, M., Xu, B., Li, Y., and Ji, Y. (2021). Ming and Qing Dynasty Official-Style Architecture Roof Types Classification Based on the 3D Point Cloud. ISPRS Int. J. Geo-Inf., 10.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3