Feature Word Generation for Ambiguous Map Spot Retrieval
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Solution Overview
Problem
Conventional information retrieval systems face challenges in accurately retrieving data that includes attribute information from ambiguous or subjective retrieval phrases, often failing to detect relevant spots or points of interest on maps.
Innovation Solution
An information retrieval system that generates feature words from retrieval phrases using morphological analysis and machine learning techniques, allowing for the identification of categories and positions, even when direct indicators are absent, and retrieves corresponding data from an accumulation database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional information retrieval systems use simple keyword matching, then the system is easy to operate, but the measurement precision of retrieval results deteriorates when dealing with ambiguous or subjective retrieval phrases
Solution Approach 1:
The patent introduces feature words as an intermediary between retrieval phrases and retrieval targets. The feature word generation unit converts ambiguous retrieval phrases into standardized feature words that can be effectively matched with accumulation data, thereby improving retrieval precision without requiring complex direct analysis of ambiguous phrases
Solution Approach 2:
The patent replaces simple keyword matching mechanisms with morphological analysis and feature word generation processes. This substitution enables the system to handle ambiguous and subjective retrieval phrases by transforming them into structured feature words that can be systematically processed and matched with accumulation data
2Measurement precision
If the system performs morphological analysis and generates feature words from retrieval phrases, then the retrieval precision improves, but the processing time increases
Solution Approach 1:
The patent performs morphological analysis and feature word generation as preliminary actions before the actual retrieval process. By pre-processing retrieval phrases into feature words and pre-structuring accumulation data with associated feature words, the system enables faster matching during the retrieval phase, thereby reducing overall processing time while maintaining high precision
3Adaptability or versatility
If the system accumulates and processes multiple types of data including attribute information, then the versatility of retrieval improves, but the device complexity increases
Solution Approach 1:
The patent creates a universal feature word-based retrieval framework that can handle multiple types of data including coordinate information, attribute information, and content information. The feature word generation and matching mechanism serves multiple functions: it processes different data types uniformly, handles various retrieval phrase types, and maintains consistency across diverse retrieval scenarios, thereby improving versatility without proportionally increasing complexity
Data Source
AI summary
An information retrieval apparatus includes a retrieval phrase acquisition device and a controller. The retrieval phrase acquisition device acquires a retrieval phrase from outside. The controller is configured to generate a feature word from the retrieval phrase. The feature word is related to a word representing a retrieval target. The controller is configured to retrieve the retrieval target corresponding to the feature word based on the feature word from an accumulation database that accumulates the feature word and the retrieval target corresponding to the feature word.