Geocoding via Polygon Region Merging for Unstructured Addresses
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Solution Overview
Problem
Existing geocoding systems struggle to efficiently handle unstructured addresses and local references, particularly in developing countries like India, where addresses lack a consistent pattern and include popular aliases, leading to difficulties in extracting valid data and interpreting local references correctly.
Innovation Solution
A method and system for geocoding that builds a reference data corpus from historical delivery data, uses task-specific corpora to capture variations in address tokens, and employs polygon regions as the core data structure, merging them based on geographical intersection and text similarity to generate accurate geolocation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing geocoding systems are used to handle unstructured addresses, then the system structure remains simple, but the geocoding accuracy deteriorates due to inability to extract valid data from unstructured addresses
Solution Approach 1:
The system segments unstructured addresses into meaningful tokens using NLP techniques, calculating end token scores and sub-sequence token scores to identify valid address components. This segmentation enables accurate extraction of geolocation information from unstructured address data while maintaining systematic processing.
Solution Approach 2:
The system introduces polygon regions as an intermediary data structure between address tokens and geolocation coordinates. By merging polygon regions based on geographical intersection and text similarity, the system bridges the gap between unstructured address data and precise geocoding, improving accuracy without requiring complete structural reorganization.
2Measurement precision
If existing geocoding methods are used to interpret local references, then the processing speed remains fast, but the interpretation accuracy deteriorates due to inability to identify aliases and local references
Solution Approach 1:
The system performs preliminary processing of addresses including removal of special characters, uppercase characters, and typographical errors before main geocoding. Task-specific corpora are built in advance to capture variations in address tokens, enabling faster and more accurate interpretation of local references during actual geocoding operations.
Solution Approach 2:
The system uses feedback mechanisms by calculating end token scores and sub-sequence token scores to validate identified address components. Polygon regions are merged based on geographical intersection and text similarity feedback, continuously improving interpretation accuracy for local references and aliases.
3Reliability
If point representations are used for address data, then the data structure remains simple, but the geocoding robustness deteriorates due to inability to capture address variations
Solution Approach 1:
The system transitions from zero-dimensional point representations to two-dimensional polygon regions for address data. This dimensional change enables the system to capture spatial extent and variations in address boundaries, improving geocoding robustness by representing addresses as areas rather than single points, while maintaining structured data organization.
Data Source
AI summary
Methods and systems are provided for geocoding. An example method encompasses receiving, from a delivery data corpus, a delivery data comprising one or more addresses. The method thereafter comprises identifying, one or more tokens from said one or more addresses. Further the method leads to calculating, for each of said one or more tokens, an end token score and a sub-sequence token score. The method thereafter encompasses chunking, said one or more addresses based on said end token score and said sub-sequence token score to generate one or more address chunks. Further the method comprises generating, one or more polygon regions for each generated address chunks based on said chunking. Thereafter the method comprises merging, one or more generated polygon regions for each of the generated address chunks.