Research on the construction of the semantic model for Chinese ancient architectures based on architectural narratives

Author:

Chen Jinju,Ou Shiyan

Abstract

Purpose This paper aims to reorganize the relevant information of Chinese ancient architectures with the use of Semantic Web technologies and thus facilitate its deep discovery and usage. Design/methodology/approach This paper proposes an ontology model for Chinese ancient architectures based on architectural narratives theory. To verify the availability of the ancient architecture ontology, we designed and implemented three experiments, including semantic retrieval based on SPARQL query, semantic reasoning with the use of Jena reasoner and visual analysis based on the Chinese Online Digital Humanities Resources Platform. Findings The proposed ontology provided a solution for the semantic annotation of the unstructured information of Chinese ancient architectures. On this basis, deep knowledge services such as semantic retrieval, semantic reasoning and visual analysis can be provided. Practical implications The proposed semantic model of ancient architectures can effectively improve the organization and access quality of the semantic content of Chinese ancient architectures. Originality/value This paper focuses on the semantic modelling for the unstructured information of Chinese ancient architectures to semantically describe the related entities (e.g. persons, events, places and times) and uncover their relationships, and thus it made contribution to the deep semantic annotations on ancient architectures.

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications

Reference37 articles.

1. Toward semantic modeling of pharmacogenomic knowledge for clinical and translational decision support;AMIA Summits on Translational Science Proceedings,2013

2. Brickley, D. and Miller, L. (2014), “FOAF vocabulary specification 0.99”, available at: http://xmlns.com/foaf/spec/ (accessed 25 March 2019).

3. Cao, Y. (2018), “Research on construction and retrieval of the database of earthquake emergency ontology case based CBR”, Master’s thesis, China University of Geosciences, Wuhan.

4. What can we learn from contextualist narratology?;Poetics Today,1990

5. Chen, J. (2013), “Research on ontology-based case representation and retrieval for design of building structure”, Master’s thesis, Dalian University of Technology, Dalian.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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