Architecture and application of urban spatial digital base based on ontology and knowledge graph
The process of urban digitalization is constantly advancing alongside city development.The smart city represents a significant achievement of urban digitalization at this stage,having made notable progress by vertically building data foundations and applications in specific fields.However,as urban governance requirements become more complex,necessitating the integration of multi-field data,issues such as low data quality and data island have emerged from previous smart city data governance models.To support the digital transformation of cities and address various challenges in past smart city data governance,this paper proposes the concept of urban spacial digital base(USDB).USDB integrates urban dynamic and static multi-source data,urban data computing schemes,and data organization management scheme.On the basis of this concept,a new data organization management architecture is proposed.This architecture relies on the ontology framework and utilizes multi-source and multi-model knowledge graphs as the core for managing data modules,data computing modules,data visualization modules,and urban service modules for urban governance.This ensures that all data,events,and behaviors operate under the same framework and protocol.The architecture possesses three key characteristics:① Leveraging the ontology framework,a semantic interpreter is constructed to cover all domain elements,ensuring the integrity and quality of the data structure.② Data is decoupled from business operations;original data is abstracted from concrete things,reconstructed into knowledge units,and appropriately desensitized to facilitate data collaboration.③ Spatial computing is elevated to knowledge operations,utilizing knowledge graphs to optimize traditional computing through knowledge reasoning and knowledge discovery,thereby expanding service boundaries and conserving computing resources.Finally,two practical examples of urban spatial digital bases are provided:① The spatial digital base supports the operation of the Shanghai Platform for Common Geospatial Information Services,dynamically displaying urban operational conditions and achieving refined urban grid comprehensive management.② Utilizing the Shanghai urban spatial digital base,road network knowledge graphs and road condition knowledge graphs are constructed using road network data and expressway road condition change corpus data.Through association and fusion of these graphs,aggregation of multi-source and multi-modal data,such as text data and geographic data,as well as the embedding of knowledge,are achieved.The management architecture of the knowledge graph inherits construction achievements from existing smart cities,reuses existing big data,and incorporates non-spatial data,such as socio-economic data,into the urban data governance framework.This provides additional dimensions for urban governance while using ontology frameworks to ensure data quality and upgrading existing spatial data operations to relationships in knowledge graphs to enhance the responsiveness of urban governance services.It provides a good data management paradigm for the process of urban digitization.As a result,the urban spacial digital base guarantees data quality,integrity,interpretability,and sharing,while ensuring its support for urban spatial information services.
smart citydigital transformation of citiestime-space big datadata managementontologyknowledge graphcity grid managementroad control