GB/T 40770-2021 English PDF

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GB/T 40770-2021: Transformational rules for ubiquitous semantic location
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Basic data

Standard ID: GB/T 40770-2021 (GB/T40770-2021)
Description (Translated English): Transformational rules for ubiquitous semantic location
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: A75
Word Count Estimation: 20,249
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 40770-2021: Transformational rules for ubiquitous semantic location

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Transformational rules for ubiquitous semantic location ICS 07.040 CCSA75 National Standards of People's Republic of China Ubiquitous Semantic Position Conversion Rules Released on 2021-10-11 2021-10-11 implementation State Administration for Market Regulation Issued by the National Standardization Management Committee

Table of contents

Foreword Ⅲ Introduction Ⅳ 1 Scope 1 2 Normative references 1 3 Terms and definitions 1 4 Ubiquitous semantic location data model 2 5 Conversion rule 3 6 Conversion method 4 6.1 Coordinate and geographic grid conversion 4 6.1.1 Coordinates to geographic grid conversion 4 6.1.2 Geographic grid to coordinate conversion 4 6.2 Coordinate and address/place name conversion 4 6.2.1 Coordinate to address/place name conversion 4 6.2.2 Address/place name to coordinate conversion 4 6.3 Geographical Grid and Address/Place Name Mutual Transfer 4 6.3.1 Geogrid to address/place name conversion 4 6.3.2 Address/place name to geographic grid conversion 5 6.4 Mutual transfer of addresses and place names 5 6.4.1 Address to place name conversion 5 6.4.2 Place name to address translation 5 6.5 Conversion between postal code and address/place name 5 6.5.1 Postal code to address/place name conversion 5 6.5.2 Address/place name to postal code conversion 5 6.6 Transfer between fixed telephone numbers and addresses/place names 5 6.6.1 Fixed telephone number to address/place name conversion 5 6.6.2 Address/place name to fixed telephone number conversion 6 6.7 Conversion between fixed IP and address/place name 6 6.7.1 Fixed IP to address/place name conversion 6 6.7.2 Address/place name to fixed IP conversion 6 6.8 Conversion between coordinates and postal codes 6 6.8.1 Coordinate to postal code conversion 6 6.8.2 Zip code to coordinate conversion 6 6.9 Coordinates and fixed telephone number conversion 6 6.9.1 Coordinates to fixed telephone number conversion 6 6.9.2 Fixed telephone number to coordinate conversion 7 6.10 Mutual conversion between coordinates and fixed IP 7 6.10.1 Coordinate to fixed IP conversion 7 6.10.2 Fixed IP to coordinate conversion 7 6.11 Conversion between geographic grid and postal code 7 6.11.1 Geographic grid to postal code conversion 7 6.11.2 Postal code to geographic grid conversion 7 6.12 Mutual transfer between geographic grid and fixed telephone number 7 6.12.1 Geogrid to fixed telephone number conversion 7 6.12.2 Fixed telephone number to geographic grid conversion 7 6.13 Mutual conversion between geographic grid and fixed IP 7 6.13.1 Geogrid to fixed IP conversion 7 6.13.2 Fixed IP to geographic grid conversion 8 6.14 Conversion between postal codes and fixed telephone numbers 8 6.14.1 Postal code to fixed telephone number conversion 8 6.14.2 Fixed telephone number to postal code conversion 8 6.15 Conversion between postal code and fixed IP 8 6.15.1 Zip code to fixed IP conversion 8 6.15.2 Fixed IP to ZIP code conversion 8 6.16 Transfer between fixed telephone numbers and fixed IP 8 6.16.1 Fixed telephone number to fixed IP conversion 8 6.16.2 Fixed IP to fixed telephone number conversion 8 Appendix A (informative) Example of Ubiquitous Semantic Position Conversion 9 A.1 Coordinate and geographic grid conversion 9 A.2 Coordinate and address/place name conversion 9 A.3 Geographic grid and address/place name conversion 10 A.4 Address and place name conversion 10 A.5 Postal code and address/place name conversion 10 A.6 Fixed telephone number and address/place name conversion 11 A.7 Fixed IP and address/place name conversion 11 A.8 Coordinate and postal code conversion 11 A.9 Coordinate and fixed telephone number conversion 11 A.10 Coordinate and fixed IP conversion 12 A.11 Geographic grid and postal code conversion 12 A.12 Geographic grid and fixed telephone number conversion 12 A.13 Geographic Grid and Fixed IP Conversion 13 A.14 Postal code and fixed telephone number conversion 13 A.15 Postal code and fixed IP conversion 13 A.16 Fixed telephone number and fixed IP conversion 14 Reference 15

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules of Standardization Documents" Drafting. Please note that certain contents of this document may involve patents. The issuing agency of this document is not responsible for identifying patents. This document was proposed by the Ministry of Natural Resources of the People's Republic of China. This document is under the jurisdiction of the National Geographic Information Standardization Technical Committee (SAC/TC230). Drafting organizations of this document. Wuhan University, Beijing Baidu Netcom Technology Co., Ltd., National Basic Geographic Information Center, Wuhan University of Technology, Tsinghua University, China Academy of Surveying and Mapping, Beijing NavInfo Technology Co., Ltd. The main drafters of this document. Weng Min, Li Lin, Wang Wei, Ding Ning, Li Hongli, Zheng Xinyan, Yin Zhangcai, Zhang Qianli, Zhai Liang, Huang Dong, Zhu Haihong, Should apply.

Introduction

In the era of big data, data resource utilization is the basic step of data mining and effective information extraction. Collection of data in various forms or topics Entry and aggregation are common key technologies in the information field. Location-based data aggregation provides effective data fusion and semantics for location services. Associated means, but the data forms of location information are various, and the location accuracy of different data is also inconsistent. Therefore, through the transfer of location data The exchange rules can standardize the basic behavior of semantic position conversion, eliminate the ambiguity problems faced by different semantic position conversions, so as to ensure a large number of positions The spatial characteristics of the data are consistent and widely available. Ubiquitous Semantic Position Conversion Rules

1 Scope

This document specifies the ubiquitous semantic location data model, conversion rules and conversion methods. This document is suitable for the conversion between semantic locations obtained from the ubiquitous environment.

2 Normative references

The content of the following documents constitutes an indispensable clause of this document through normative references in the text. Among them, dated quotations Only the version corresponding to the date is applicable to this document; for undated reference documents, the latest version (including all amendments) is applicable to This document. GB/T 12409-2009 Geographic Grid GB/T 18521-2001 Place name classification and classification code compilation rules GB/T 30428.3-2016 Digital City Management Information System Part 3.Geocoding National Geographical Names Database Code Compilation Rules Telecommunications Network Numbering Plan (2017 Edition)

3 Terms and definitions

The following terms and definitions apply to this document. 3.1 Ubiquitousnetwork Allow users to freely use any tools at any time, any place, and access and exchange information through broadband and wireless networks The internet. 3.2 Ubiquitous environment Based on the ubiquitous network formed by the physical space and abstract information space of people, things and things that are related to each other, it provides ubiquitous information resources. 3.3 Location A point, or an object, or the geometric space that a person may occupy. 3.4 Semantic location A position expressed in natural language or symbols with positional semantics. Examples. place name, address, postal code. [GB/T 35638-2017, definition 2.4] 3.5 Ubiquitoussemanticlocation The semantic location obtained from the ubiquitous environment. ......

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