Inverted Term Index with Nested Spatial Index for Navigation
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Solution Overview
Problem
Navigation systems face challenges in efficiently presenting increasing amounts of location-based information while reducing costs and improving performance under competitive pressures, with existing solutions failing to provide effective data handling and meaningful differentiation.
Innovation Solution
A navigation system that preconstructs an inverted term index with a nested spatial index, allowing for efficient searching by locating terms within a specified range, thereby retrieving relevant location records for display on devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If navigation systems present increasing amounts of location-based information, then information completeness is improved, but system response time deteriorates
Solution Approach 1:
The system pre-constructs inverted term indexes and nested spatial indexes during idle periods or data updates, so that when a user performs a search, the indexing structure is already ready. This preliminary action allows rapid retrieval of location-based information without delaying the system response to user queries, resolving the contradiction between providing comprehensive information and maintaining fast response times.
2Quantity of substance
If navigation systems handle more data, then information completeness is improved, but processing efficiency deteriorates
Solution Approach 1:
The system segments the large volume of location-based data into organized structures including inverted term indexes (grouping data by search terms) and nested spatial indexes (organizing data by geographic hierarchy). This segmentation transforms unmanageable raw data into efficiently queryable units, allowing the system to handle increasing data volumes while maintaining high processing efficiency through targeted searches rather than full-data scans.
Solution Approach 2:
The system introduces multiple indexing dimensions - term-based dimensions (inverted indexes organizing data alphabetically or by category) and spatial dimensions (nested geographic hierarchies from regions to specific locations). By organizing data across these additional dimensions, the system enables efficient retrieval from any entry point without requiring linear processing of all data, thus maintaining productivity while handling increased data quantities.
3Ease of operation
If navigation systems provide sophisticated information presentation, then user experience is improved, but system complexity increases
Solution Approach 1:
The inverted term indexes and nested spatial indexes serve as intermediary structures between the raw location data and the user interface. These indexes mediate the complex data retrieval process by providing pre-organized access paths, allowing the system to deliver sophisticated information presentation (multiple search criteria, spatial filtering, categorical organization) without exposing the underlying complexity to users or requiring complex real-time processing logic.
Data Source
AI summary
A method of operation of a navigation system includes: preconstructing an inverted term index having a nested spatial index of at least one location; providing a search term and a search range for searching the inverted term index; locating the search term in the inverted term index and having the nested spatial index bounded by the search range; and retrieving a location record linked to the nested spatial index and associated with the search term and the search range for displaying on a device.