A visual cross-domain query method for urban data

A technology of urban data and query methods, applied in the field of visual cross-domain query of urban data, can solve the problems of urban data heterogeneity and data granularity, inapplicability, etc., and achieve the effect of visual query

Active Publication Date: 2020-05-12
ZHEJIANG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because cross-domain urban data is characterized by heterogeneity and data granularity, the method for a single data source is not applicable

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A visual cross-domain query method for urban data
  • A visual cross-domain query method for urban data
  • A visual cross-domain query method for urban data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The process of this method can be divided into three major steps, visual query, visual reasoning exploration, and visualization of urban data. The purpose and effects of the present invention will become more apparent by describing the present invention in detail below in conjunction with the accompanying drawings.

[0056] The visual cross-domain query method for city data in this embodiment includes the following three processes:

[0057] (1) Divide the attributes of cross-domain urban data into at least four categories: time attributes, spatial attributes, identity attributes, and description information, and build the classified data into a database;

[0058] (2) Visual query: In order to complete the visualization of cross-domain query of urban data, the method designs two kinds of nodes, condition node and result node, including query dialog box, query result dialog box and information extraction query dialog box respectively.

[0059] a. The condition node inclu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a city data visual cross-domain query method. The method comprises the following steps of (1) dividing attributes of cross-domain city data into at least four classes: a time attribute, a space attribute, an identity attribute and descriptive information, and establishing a database by the classified data; (2) setting a visual query dialog box, a query result dialog box and an information extraction query dialog box, wherein query conditions of the query dialog box and the information extraction dialog box are Boolean combinations of the four attributes in the step (1); and (3) combining the query dialog box, the query result dialog box and the information extraction query dialog box in the step (2) to finish a visual query of a cross-domain target. According to the method, visual query, analysis, reasoning and exploration of the cross-domain city data are realized and the cross-domain data fusion is realized.

Description

technical field [0001] The invention relates to the field of spatio-temporal data query and analysis, in particular to a visual cross-domain query method for city data. Background technique [0002] In recent years, the development of sensors has produced a large amount of urban data, including mobile phone moving vehicle trajectory, social network, POI and other fields. While urban data brings a huge amount of information to human beings, it also brings huge challenges. The visual analysis of query reasoning of cross-domain urban spatio-temporal data has increasingly become a hot topic in urban management and urban construction. [0003] Visual query is the basis of data processing. Query can achieve the basic investigation function of data, so that data or certain characteristics of data can be directly extracted. Most of the existing urban data query visualizations are aimed at a single data source. These visualizations cannot integrate multi-source heterogeneous urban...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9538G06F16/9537
CPCG06F16/951G06F16/9537
Inventor 陈为黄兆嵩吴斐然朱闽峰
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap