Geolocation Data Processing for Electronic Map Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic map services fail to seamlessly integrate geographical location data from documents into map displays, lacking the ability to automatically present associated addresses and requiring manual user interaction to visualize event locations during web browsing.
Innovation Solution
A method and system for processing geographical location data in documents by obtaining, grading, and marking this data on electronic maps, using techniques like Named Entity Recognition, cause-effect relation analysis, and time sequencing to create an intuitive and automatic visualization of geographical relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If geographical location data from documents are automatically extracted and integrated into electronic map displays, then information browsing convenience is improved, but system complexity increases due to the need for automated data processing and integration mechanisms
Solution Approach 1:
The system automatically extracts geographical location data from documents without requiring manual user input. The electronic map service autonomously processes the integration of document data with map displays, performing grading, filtering, and visualization tasks automatically to improve browsing convenience while managing system complexity through automation.
Solution Approach 2:
The patent introduces an intermediary processing layer between document data and electronic map displays. This intermediary system performs automated extraction, grading, and integration of geographical location data, acting as a mediator that transforms unstructured document information into structured map visualizations, thereby improving ease of operation while containing system complexity within the intermediary layer.
2Productivity
If manual user interaction is required to visualize event locations on maps, then system complexity is reduced, but productivity decreases due to the time-consuming manual process
Solution Approach 1:
The system performs preliminary automated extraction and grading of geographical location data from documents before the user needs to visualize them. By pre-processing the data and preparing it for integration with electronic maps, the system eliminates the need for manual user interaction during the visualization process, thereby improving productivity while the preliminary processing handles the complexity.
Data Source
AI summary
Techniques for processing geographical location data in a document comprise: obtaining geographical location data in the document; grading the geographical location data according to a predetermined condition to determine an associated relationship between the geographical location data; marking on an electronic map the associated relationship between the geographical location data; and presenting the marked electronic map.