Evidence map›Paper›PMID 40982576›Full record

ArticlePloS one2025

Construction and application of a novel urban knowledge model with extended historical and cultural semantics.

Chaoqun Wang, Cuicui Xu, Yinglin Wang, Jie He, Weijiang Pan, Xin Xu

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chaoqun WangSchool of Architecture, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong Province, China.ORCID 0000-0001-7769-8839
Cuicui XuSchool of Architecture, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong Province, China.
Yinglin WangSchool of Architecture, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong Province, China.ORCID 0009-0006-7736-201X
Jie HeSchool of Architecture, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong Province, China.ORCID 0000-0002-8386-6277
Weijiang PanThe 10th Institute of Architectural Design, Guangdong Architectural Design and Research Institute Group Co., Ltd., Guangzhou, Guangdong Province, China.
Xin XuThe 10th Institute of Architectural Design, Guangdong Architectural Design and Research Institute Group Co., Ltd., Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historical urban spaces, imbued with profound historical and cultural significance, have evolved from 'spaces' into meaningful 'places'. But they now face the risk of being eroded by rapid urbanisation and forgotten by today's society, making it challenging to integrate them into modern life. UNESCO's Historic Urban Landscapes (HUL) Recommendation highlights the importance of understanding the holistic, layered, and dynamic nature of urban heritage. Therefore, focusing on the ancient city district of Guangzhou as a case study, this research explores innovative approaches to integrating holistic semantics of urban places by merging contemporary semantics from geo-big data with historical and cultural semantics from documents and archives to create an urban knowledge model that bridges the gap between the present and the past. Furthermore, using knowledge graph embedding technology, we develop a model capable of entity prediction, similarity calculation, and query retrieval. We propose four key application scenarios for the implementation of the model. First, our research identifies potential cultural spatial connections that contribute to the joint preservation and promotion of historic urban places. Second, we develop a recommendation system that caters to users' various requests, increasing the visibility of historical places. Third, we predict optimal locations for Time-Honored Brands. Finally, we identify visitor profiles to assist managers in meeting cultural promotion needs. To summarize, the integrated framework proposed in this study demonstrates both methodological efficacy and reusability. It not only helps to deeply explore the historical and cultural connotations, providing a scientific basis for urban planning and cultural inheritance, but also has the potential for enhancing the public's awareness and participation in historical culture, promoting the sustainable development and prosperity of urban culture.

Indexed as

CultureKnowledgeModels, TheoreticalSemanticsUrbanizationChinaCitiesHumans

Identifiers

PMID40982576
PMCPMC12453240

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.