Map Inquiry System Using Word Segmentation for Vague Queries
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Solution Overview
Problem
Current electronic map service systems require explicit location information from users, leading to empty or irrelevant search results when input is vague or overgeneralized, failing to accurately meet user demands.
Innovation Solution
A method and apparatus that perform map inquiries based on user query statements by segmenting words, extracting specific information, and inquiring routes or points of interest, including road condition and travel time calculations using formulas for self-driving, public transport, or walking, to provide results closer to user demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If explicit location information is required for map search, then search accuracy is improved, but user convenience deteriorates
Solution Approach 1:
The system performs preliminary word segmentation and information extraction on the user's query statement before the actual map search. By pre-processing the query to identify location information, time information, and event information, the system prepares the necessary search parameters in advance, enabling accurate search results without requiring users to manually input explicit location data.
Solution Approach 2:
The patent introduces an intermediary processing layer between the user's natural language input and the map search system. This intermediary layer includes word segmentation modules, information extraction modules, and route planning modules that translate vague user queries into structured search parameters, acting as a mediator that bridges the gap between informal user input and formal search requirements.
2Ease of operation
If natural language queries are accepted, then user convenience is improved, but information extraction accuracy deteriorates
Solution Approach 1:
The system segments the user's natural language query into distinct components using word segmentation technology. The query is divided into individual words or phrases, which are then analyzed to identify location information, time information, and event information. This segmentation process transforms unstructured natural language into structured data elements that can be accurately processed.
Solution Approach 2:
The system implements feedback mechanisms where the extracted information is validated and refined through multiple processing stages. The information extraction module continuously refines its output based on the segmented words, and the route planning module provides feedback on the extracted location information to improve extraction accuracy in subsequent processing.
Data Source
AI summary
A method and a device for inquiring a map are provided. The method includes receiving a query statement inputted by a user; performing a word segmentation on the query statement received to obtain a result of the word segmentation; extracting specific information related to a demand of the user from the result of the word segmentation; inquiring a route and/or a point of interest related to the specific information extracted in a map.