Alive Matrix Patent Map with Dynamic Keyword Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for producing patent maps are labor-intensive and time-consuming, as they require manual setting of keywords and do not allow for easy revision, filtering, or addition of new patent documents without recreating the entire matrix chart.
Innovation Solution
A method that involves determining keyword groups, analyzing data lists, and creating an alive matrix map with filtering units, allowing for dynamic updating and display of information without the need for repetitive manual settings or reanalysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual keyword setting and patent document filtering is performed to create a patent matrix chart, then the patent map can be produced with designated keywords on horizontal and vertical axes, but the process becomes labor-intensive and time-consuming when revisions or additions are needed
Solution Approach 1:
The system performs preliminary analysis of patent documents against keyword groups in advance, storing the analysis results in a database. When creating or updating a patent matrix chart, the system retrieves pre-analyzed data instead of re-analyzing all documents, significantly reducing the time required for revisions or additions while maintaining accurate keyword matching
Solution Approach 2:
The patent map system is designed to be dynamic and adaptable. Keyword groups can be modified, filtered, and updated without requiring complete recreation of the matrix chart. The system allows selective filtering of patent documents based on modified keyword groups, enabling efficient updates while preserving the core structure and analysis results
2Ease of manufacture
If the patent matrix chart is created with fixed filtering conditions, then the initial patent map can be generated, but any revision or addition of patent documents requires setting keywords manually again
Solution Approach 1:
The system employs dynamic filtering mechanisms that allow keyword groups and filtering conditions to be modified after the initial patent map creation. Users can add, remove, or modify keywords in keyword groups, and the system will re-filter the patent document database accordingly, enabling flexible updates without complete recreation of the patent map
Solution Approach 2:
The patent map system serves multiple functions: it can create initial patent maps, update existing maps with new patent documents, filter documents based on modified keyword groups, and generate various types of patent analyses. This multi-functionality allows the same system to handle both initial creation and subsequent revisions efficiently
3Reliability
If repetitive analysis, filtering, and matching processes are performed when adding new patent documents, then new documents can be incorporated into the patent map, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The system pre-analyzes patent documents against keyword groups and stores these analysis results in advance. When new patent documents need to be added or when updating the patent map, the system retrieves and utilizes pre-computed analysis data, avoiding repetitive full-analysis cycles while maintaining accurate matching between patent documents and keyword groups
Solution Approach 2:
The system uses templates and reusable keyword group configurations that can be copied and applied across different patent map creations and updates. Once keyword groups and filtering criteria are established, they can be replicated and applied to new patent documents without recreating the entire analysis framework, significantly improving update efficiency
Data Source
AI summary
The present invention provides a method for updating and displaying information, which comprises a matrix program that operates as a program to analyze a data list and to form a table separately by setting a plurality of keywords, then produce an alive matrix map after the analysis result is matched and the table is created; therefore, the alive matrix map can add new data lists without repeating the tedious setting steps.