Urban multi-scale comprehensive perception index system construction and query method based on ontology
A technology of index system and construction method, applied in the field of sensor network information perception, which can solve the problems of unclear perception content and insufficient perception range of urban development and construction
Pending Publication Date: 2021-09-03
WUHAN UNIV
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[0013] In order to meet the needs of different users for multi-scale three-dimensional perception of smart cities, solve the problems of unclear perception content and insufficient perception range in urban development and construction, and improve the ability and efficiency of perception decision-making, this invention proposes an ontology-based urban multi-scale comprehensive perception Index system construction and query method
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[0044] In order to better understand the present invention, the technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0045] The present invention proposes to design the top-level structure of the urban multi-scale comprehensive perception index system according to user needs; construct the ontology model of the urban multi-scale comprehensive perception index system, grasp the framework macroscopically, and extend downward step by step; according to the ontology of the urban multi-scale comprehensive perception index system The model design meta-model Schema facilitates the expansion and reuse of more fields and application scenarios; according to the research content and perception needs of different fields, it collects and summarizes the perception index items, perception elements and Its attributes; build an example of an urban multi-scale comprehensive perception index system, ...
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The invention provides a urban multi-scale comprehensive perception index system construction and query method based on ontology, which comprises the following steps of: setting a top-layer framework of an urban multi-scale comprehensive perception index system, and constructing an urban multi-scale comprehensive perception index system ontology model; defining basic types and elements of an index system metadata model according to the structure and content of an urban multi-scale comprehensive perception index system ontology model, and determining Schema setting of the index system metadata model; according to research contents and perception requirements of different fields, perception index items, acquiring and summarizing perception elements and attributes under three scales of urban groups, cities and blocks; creating a city multi-scale comprehensive perception index system instance according to the ontology model and the collected information, achieving formalized expression of various city multi-scale comprehensive perception index systems by establishing a mapping relationship between index information of the index system and each metadata field in the meta-model, to support user query.
Description
technical field [0001] The invention belongs to the technical field of sensor network information perception, and relates to an ontology-based urban multi-scale comprehensive perception index system construction and query method. Background technique [0002] With the rapid development of data science and technology, and the promotion of urban informatization, smart city has become a new concept of urban development in the 21st century. Smart city research based on infrastructure such as the Internet and the Internet of Things is based on perceptual data, using cloud computing, artificial intelligence and other technologies to discover knowledge from massive data, thereby providing intelligent services. However, urban data has the characteristics of various types, large scale, low value density, and multi-dimensional space and time, making it difficult to share and collaborate, which brings difficulties to subsequent data processing and use. [0003] In order to better guid...
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IPC IPC(8): G06Q10/06G06Q50/26G06F16/9532G06F16/954
CPCG06Q10/0639G06Q50/26G06F16/9532G06F16/954
Inventor 么爽杜文英陈能成
Owner WUHAN UNIV