WO2019171132A1 - Geographic coordinates locator service - Google Patents

Geographic coordinates locator service Download PDF

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Publication number
WO2019171132A1
WO2019171132A1 PCT/IB2018/051451 IB2018051451W WO2019171132A1 WO 2019171132 A1 WO2019171132 A1 WO 2019171132A1 IB 2018051451 W IB2018051451 W IB 2018051451W WO 2019171132 A1 WO2019171132 A1 WO 2019171132A1
Authority
WO
WIPO (PCT)
Prior art keywords
cluster
name
geographic coordinates
street
files
Prior art date
Application number
PCT/IB2018/051451
Other languages
French (fr)
Inventor
Pratik Sharma
Original Assignee
Pratik Sharma
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Pratik Sharma filed Critical Pratik Sharma
Priority to PCT/IB2018/051451 priority Critical patent/WO2019171132A1/en
Publication of WO2019171132A1 publication Critical patent/WO2019171132A1/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/16Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management

Abstract

Here the Geographic Coordinates Locator Service will maintain for all three-dimensional structural objects in every street of the city its detailed address location information, its dimensions, the top view, images, and other attributes. The service will maintain information in the form of files (one file per three-dimensional object) with information in them divided into different blocks and there will be additional metadata for these files with pointers to each of the blocks for every file. Also these files corresponding to three-dimensional objects will be clustered in a hierarchal form with the bottom up hierarchy being from street names or numbers to postal code to city name to state name to country name to World(root node in cluster). Hence when the client application provides detailed address as input to the service we are able to lookup in our hierarchal cluster and return back the geographic coordinates.

Description

Geographic Coordinates Locator Service

In this invention we provide Geographic Coordinates Locator Service which transforms the detailed address location including house numbers, floor and building within an apartment, apartment names, street names or numbers, street intersections, postal codes, city, state, country etc. into the geographic coordinates like latitude, longitude and elevation. Here the Geographic Coordinates Locator Service will maintain for all three-dimensional structural objects in every street of the city its detailed address location information including house numbers, floor and building within an apartment, apartment names, street names or numbers, street intersections, postal codes, shop name or number, etc. , its dimensions, the top view, side views and rear view images of the three-dimensional structural objects, and other attributes. The service will maintain information in the form of files (one file per three-dimensional object) with information in them divided into different blocks like detailed address block, dimension block, attributes block, image information block, geographic coordinates block, etc. and there will be additional metadata for these files with pointers to each of the above mentioned blocks for each file. Also these files will be clustered in a hierarchal form where all files for three-dimensional structural objects in the same street will be clustered together and their cluster name will be the street name or number. Now we will perform Agglomerative clustering or take a bottom up approach by merging all clusters of different street names or numbers in the same postal code into one cluster and that cluster name will be the postal code. Similarly we will perform Agglomerative clustering by merging all clusters of different postal codes in the same city into one cluster and that cluster name will be the city name. Again we will perform Agglomerative clustering by merging all clusters of different cities in the same state into one cluster and that cluster name will be the state name. Also we will perform Agglomerative clustering by merging all clusters of different states in the same country into one cluster and that cluster name will be the country name. Finally we will perform Agglomerative clustering by merging all clusters of different countries into one cluster and that cluster name will be the World. Now when the client application provides a detail address location as input to the service, it will parse the input to get the street name or number and with the help of other parameters like country, state, city and postal code it will locate from the hierarchal cluster we have built, the cluster of files corresponding to three-dimensional structural objects present on the same street provided by the client. Then the service will perform full-text search on the detailed address block for these files and find out the file containing the geographic coordinates for the address location. The service will return back the geographic coordinates from the geographic coordinates block of the selected file to the client application.

Claims

Claims Following is the claim for this invention: -
1 . In this invention we provide Geographic Coordinates Locator Service which
transforms the detailed address location including house numbers, floor and building within an apartment, apartment names, street names or numbers, street intersections, postal codes, city, state, country etc. into the geographic coordinates like latitude, longitude and elevation. Here the Geographic Coordinates Locator Service will maintain for all three-dimensional structural objects in every street of the city its detailed address location information including house numbers, floor and building within an apartment, apartment names, street names or numbers, street intersections, postal codes, shop name or number, etc. , its dimensions, the top view, side views and rear view images of the three-dimensional structural objects, and other attributes. The service will maintain information in the form of files (one file per three-dimensional object) with information in them divided into different blocks like detailed address block, dimension block, attributes block, image information block, geographic coordinates block, etc. and there will be additional metadata for these files with pointers to each of the above mentioned blocks for each file. Also these files will be clustered in a hierarchal form where all files for three-dimensional structural objects in the same street will be clustered together and their cluster name will be the street name or number. Now we will perform Agglomerative clustering or take a bottom up approach by merging all clusters of different street names or numbers in the same postal code into one cluster and that cluster name will be the postal code. Similarly we will perform Agglomerative clustering by merging all clusters of different postal codes in the same city into one cluster and that cluster name will be the city name. Again we will perform Agglomerative clustering by merging all clusters of different cities in the same state into one cluster and that cluster name will be the state name. Also we will perform Agglomerative clustering by merging all clusters of different states in the same country into one cluster and that cluster name will be the country name. Finally we will perform Agglomerative clustering by merging all clusters of different countries into one cluster and that cluster name will be the World. Now when the client application provides a detail address location as input to the service, it will parse the input to get the street name or number and with the help of other parameters like country, state, city and postal code it will locate from the hierarchal cluster we have built, the cluster of files corresponding to three- dimensional structural objects present on the same street provided by the client. Then the service will perform full-text search on the detailed address block for these files and find out the file containing the geographic coordinates for the address location. The service will return back the geographic coordinates from the geographic coordinates block of the selected file to the client application. The above novel technique of providing geographic coordinates from the detailed address location is the claim for this invention.
PCT/IB2018/051451 2018-03-06 2018-03-06 Geographic coordinates locator service WO2019171132A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/IB2018/051451 WO2019171132A1 (en) 2018-03-06 2018-03-06 Geographic coordinates locator service

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IB2018/051451 WO2019171132A1 (en) 2018-03-06 2018-03-06 Geographic coordinates locator service

Publications (1)

Publication Number Publication Date
WO2019171132A1 true WO2019171132A1 (en) 2019-09-12

Family

ID=67847024

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2018/051451 WO2019171132A1 (en) 2018-03-06 2018-03-06 Geographic coordinates locator service

Country Status (1)

Country Link
WO (1) WO2019171132A1 (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180017405A1 (en) * 2015-01-27 2018-01-18 Beijing Didi Infinity Technology And Development Co., Ltd. Methods and systems for providing information for an on-demand service
US9904932B2 (en) * 2014-12-29 2018-02-27 Google Llc Analyzing semantic places and related data from a plurality of location data reports

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9904932B2 (en) * 2014-12-29 2018-02-27 Google Llc Analyzing semantic places and related data from a plurality of location data reports
US20180017405A1 (en) * 2015-01-27 2018-01-18 Beijing Didi Infinity Technology And Development Co., Ltd. Methods and systems for providing information for an on-demand service

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