Navigation System Single Pass Clustering Template Generation
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Solution Overview
Problem
Existing navigation systems fail to accurately extract and align all fields from source documents to revised documents in a single pass, leading to incomplete information display for users, which is critical for providing effective location-based services.
Innovation Solution
A navigation system employing a single pass clustering based template generation mechanism, which includes extracting navigation-related web documents, generating formatting sequences, selecting a user-defined percentile for cluster formation, calculating a threshold value for clustering, grouping formatting sequences with clusters based on comparison values, and generating travel routes for points of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional multi-pass extraction methods are used, then completeness of field extraction can be improved, but processing time and system complexity increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-processing web documents to identify and extract formatting sequences before the main extraction process. This preparation step creates a structured foundation that enables single-pass extraction to achieve completeness without requiring multiple processing passes, thus reducing processing time while maintaining information completeness.
Solution Approach 2:
The patent changes the parameter of extraction passes from multiple to single by transforming the extraction methodology. It uses formatting sequence matching and clustering algorithms to enable comprehensive field extraction in one pass, fundamentally altering the processing parameter from iterative multi-pass to efficient single-pass operation.
2Productivity
If single pass extraction is used, then processing speed improves, but extraction accuracy and completeness deteriorate
Solution Approach 1:
The patent introduces formatting sequences as an intermediary element that mediates between the source document and extraction process. These formatting sequences serve as templates that guide the single-pass extraction, enabling accurate field identification and alignment without requiring multiple passes, thus maintaining high extraction accuracy while achieving fast processing speed.
Solution Approach 2:
The patent replaces the mechanical iterative multi-pass extraction system with a streamlined single-pass system based on formatting sequence matching. This substitution uses algorithmic pattern recognition and clustering methods to achieve accurate extraction in one pass, replacing the traditional mechanical approach of repeated extraction cycles.
3Reliability
If multiple clustering passes are performed, then cluster accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by performing pre-processing steps including formatting sequence extraction and initial clustering preparation before the main extraction process. This upfront preparation creates structured data that enables accurate single-pass clustering without requiring multiple iterative clustering passes, thus maintaining cluster accuracy while reducing computational complexity.
4Loss of information
If comprehensive field alignment is achieved, then information quality improves, but system complexity and processing requirements increase
Solution Approach 1:
The patent uses formatting sequences as intermediary templates that simplify the field alignment process. These pre-defined formatting sequences act as mediators that automatically map source document fields to target document fields in a single pass, achieving comprehensive field alignment and high information quality without requiring complex multi-stage alignment systems.
Data Source
AI summary
A method of operation of a navigation system includes: extracting navigation-related web documents having a point of interest; generating formatting sequences of the navigation-related web documents; selecting a user-defined percentile representing reciprocal fraction of an expected number of clusters; calculating a threshold value for a first cluster with the threshold value to be equal to the user-defined percentile of a first normalized distribution of sample comparison values between the first cluster and formatting sequence samples from the formatting sequences, the first cluster is from the clusters; computing an associated comparison value between a first formatting sequence from the formatting sequences and the first cluster; grouping the first formatting sequence with the first cluster when the associated comparison value exceeds the threshold value for the first cluster; and generating a travel route for the point of interest related to the first cluster for displaying on a device.


