Reverse Proxy for Geo-Enriched Data Model Query Translation
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Solution Overview
Problem
Current computing systems face challenges in efficiently accessing and processing geo-enriched data across different geo-enriched data systems, which is essential for applications like mapping and spatial analysis, due to the complexity of managing non-spatial and spatial data associations.
Innovation Solution
A system and method that allow a client device to create data models, generate queries, and receive geo-enriched data from geo-enriched data systems through a reverse proxy system, enabling the association and visualization of non-spatial and spatial data, such as location data, to generate map visualizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data models are used to manage geo-enriched data across multiple systems, then data integration and access efficiency are improved, but system complexity increases due to managing multiple data models and mappings
Solution Approach 1:
The patent introduces a reverse proxy system that acts as an intermediary between client devices and multiple geo-enriched data systems. The reverse proxy receives queries from clients, translates them into appropriate queries for different data systems, and returns results. This mediator approach improves data access efficiency across systems while the proxy manages the complexity of multiple data model mappings, preventing the complexity from directly impacting client applications.
Solution Approach 2:
The reverse proxy system performs multiple functions: it acts as a query translator, a data model mapper, and a result aggregator. By consolidating these functions in a single universal system, the patent improves overall data access efficiency while centralizing complexity management, allowing individual components to remain simpler.
2Adaptability or versatility
If non-spatial and spatial data are associated through data models, then data integration capability is improved, but difficulty of detecting and measuring data relationships increases
Solution Approach 1:
The patent segments data into distinct non-spatial data and spatial data components within the data model structure. The reverse proxy systematically processes these segmented data types separately, mapping non-spatial attributes to their corresponding spatial counterparts. This segmentation makes data relationships more detectable and measurable by breaking down complex associations into manageable, structured mappings.
Solution Approach 2:
The data model definitions and mappings between non-spatial and spatial data are pre-configured and stored in the reverse proxy before queries are executed. This preliminary setup of data relationships allows the system to quickly detect and measure associations during query processing, rather than computing relationships in real-time, thereby reducing the difficulty of detecting data relationships.
3Adaptability or versatility
If multiple data models are supported for different geo-enriched data systems, then adaptability is improved, but device complexity increases due to managing multiple mappings
Solution Approach 1:
The reverse proxy serves as a centralized intermediary that manages all data model definitions and mappings between multiple geo-enriched data systems. Instead of each client device managing complex mappings to multiple systems, the proxy consolidates this complexity in one location, providing a simplified interface to clients while maintaining high adaptability to support various data systems through configurable data models.
4Measurement precision
If geocoding operations are performed to determine locations, then location accuracy is improved, but processing time increases
Solution Approach 1:
The data models include pre-configured geocoding rules, reference data, and mapping relationships that are prepared in advance. When queries are executed, the reverse proxy utilizes these pre-prepared resources to perform geocoding operations more efficiently, reducing processing time while maintaining location accuracy through the use of pre-validated geocoding configurations.
Data Source
AI summary
Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives from a data modeling system a data model definition of a data model. The program further generates a query for geo-enriched data from the data model based on the data model definition. The program also sends the query to a proxy system for the proxy system to forward the query to a geo-enriched data system. The program further receives a set of geo-enriched data from the geo-enriched data system via the proxy system.


