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Construction And Representation Of Urban Historical And Cultural Landscape Assessment Model Based On Knowledge Graph

Posted on:2024-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:X CaoFull Text:PDF
GTID:2542307076496464Subject:Surveying and mapping engineering
Abstract/Summary:PDF Full Text Request
In the context of rapid urban development and constant construction,Chinese cities are facing the serious problem of homogenization,and the unique historical and cultural features of cities urgently need scientific protection and objective evaluation.In the era of information explosion,it has become an urgent need to use emerging technologies to explore the elements of urban historical and cultural features,and objectively evaluate the current status of urban historical and cultural features,in order to promote sustainable urban development.This paper attempts to explore a knowledge graph-based approach for evaluating the historical and cultural landscapes of cities and performs feasibility experiments on this method.The main contents include:(1)In response to the issue of differentiated historical and cultural landscape elements among different cities,this paper clarifies the definition of the connotation of urban historical and cultural landscapes and the relationship between similar concepts.Based on graph visualization and analysis methods,this paper visualizes the cooccurrence of keywords and clusters of keywords related to the urban historical and cultural landscapes.This analysis derives the set of influential elements that affect the urban historical and cultural landscapes,and constructs an evaluation model for the historical and cultural landscapes of cities based on this set.(2)In response to the problem of quantifying urban historical and cultural features,this paper designs a quantitative calculation framework based on the historical and cultural feature graph and a technical framework for constructing a knowledge graph of urban historical and cultural features.Taking urban historical buildings and intangible cultural heritage as examples,the paper designs a domain knowledge ontology considering geographical spatial relations and instantiates knowledge graphs of urban historical buildings and intangible cultural heritage in Beijing as a test region.Finally,knowledge retrieval and visualization are performed based on the constructed graphs to verify the feasibility of the feature graph construction framework proposed in this paper.Based on the constructed knowledge graph of urban historical and cultural features,this paper uses multiple indicators,such as node degree centrality,eigenvector centrality,and PageRank algorithm,to comprehensively calculate the influence weights of corresponding feature entities in the graph structure.Using recent comments on social media as the data basis and text sentiment polarity analysis method,the paper carries out quantitative scoring of feature entities.(3)To achieve dynamic visualization of urban historical and cultural features knowledge and quantitative evaluation results,this paper combined WebGIS technology and Neo4j graph database to design and build a visualization system for urban historical and cultural features.The system can dynamically display the knowledge graph of urban historical and cultural features and realize the presentation of feature elements in geographic space,providing convenience for the management of urban historical and cultural features.In addition,the system provides an interactive and efficient search portal,providing a more convenient way for users to search and learn about urban historical and cultural features.This paper proposes a quantitative and objective evaluation framework for urban historical and cultural heritage based on knowledge graphs and graph computation,and presents a related application system.This framework provides a new approach and tool for the protection and inheritance of urban historical and cultural heritage.Moreover,it can provide decision support and reference for urban planning,tourism development,cultural industries and other related fields,indicating significant practical value.
Keywords/Search Tags:Urban Historical and Cultural Landscape, Knowledge Graph, Graph Computation, Neo4j Graph Database, Visualization System
PDF Full Text Request
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