Knowledge Discovery System with Coordinated Relational and Geophysical Views
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Solution Overview
Problem
Researchers face difficulties in efficiently searching, accessing, and organizing large volumes of data across multiple databases to find relevant information, especially when dealing with geographic and relational data, due to the complexity of databases and the distribution of information across various sources.
Innovation Solution
A knowledge discovery system that provides an interactive and coordinated view of data elements and relationships, using a relational data element view and a geophysical view, allowing for the identification and establishment of relationships between data elements, with features like drag-and-drop functionality, filtering, and confidence values to enhance data manipulation and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If researchers query multiple databases to find relevant information, then the completeness of information retrieval is improved, but the time and complexity of the search process increases
Solution Approach 1:
The patent combines multiple database queries and their results into a single unified visual display. The system simultaneously executes queries across multiple databases and presents all results in one coordinated view, eliminating the need for researchers to manually switch between multiple database interfaces and reducing the time required to gather comprehensive information.
Solution Approach 2:
The patent adds a visual spatial dimension to data presentation by displaying data elements as graphical icons positioned in relation to one another on a display screen. This visual dimension allows researchers to perceive relationships and patterns across multiple data sources simultaneously, rather than sequentially text-based results.
2Loss of information
If researchers query multiple databases for geographic and relational data, then the comprehensiveness of data coverage is improved, but the complexity of organizing and analyzing results increases
Solution Approach 1:
The patent merges the display of data elements from multiple databases into a single unified view. The system presents relational data, geographic data, and other information types together in one coordinated display, eliminating the need for separate analysis tools for each data type and reducing organizational complexity.
Solution Approach 2:
The patent uses visual attributes such as color coding to represent different data types, relationships, or confidence levels. Data elements are displayed as graphical icons that can be visually distinguished by color or other visual properties, making it easier to categorize and analyze comprehensive data sets without increasing complexity.
3Measurement precision
If researchers manually review thousands of query results to determine relevancy, then the accuracy of information selection is improved, but the productivity of the research process decreases
Solution Approach 1:
The patent replaces the manual mechanical process of reviewing thousands of text-based results with an automated visual system. The computer system automatically processes and displays results as graphical icons with visual indicators of relevancy, allowing researchers to scan and evaluate information much more quickly than manual text review while maintaining accuracy.
Solution Approach 2:
The patent uses visual attributes such as color coding to indicate the relevancy or confidence level of data elements. This visual encoding allows researchers to quickly assess information quality and relevancy at a glance, maintaining selection accuracy while dramatically increasing processing speed and productivity.
4Measurement precision
If researchers use separate geographically based queries for each database, then the precision of geographic data retrieval is improved, but the time required to complete geographic analysis increases
Solution Approach 1:
The patent combines geographic data from multiple databases into a single unified display. The system simultaneously retrieves and displays geographic information from multiple sources in one coordinated view, maintaining the precision of individual database queries while eliminating the time required to sequentially access each database separately.
Data Source
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AI summary
A knowledge model discovery system is configured to provide an interactive view having simultaneously displayed sub-views that include a relational data element view and a geophysical view. Using the interactive view, a user may perform search and analysis of information organized with a knowledge management tool in conjunction with geographic information. The relational data element view may provide a relational visualization that displays data elements provided with the knowledge management tool as narrowed by the context of a user analysis. The geophysical view may provide a geographically based depiction of the same data elements using a similar context. The relational data element view and the geophysical view may be operated in coordination to maintain cohesiveness and similar context of the information displayed in the views.