Patent Portfolio Distribution Mapping for Technology Focus Analysis
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Solution Overview
Problem
Existing technologies lack the ability to accurately ascertain the technology classification characterized by 'concentration and selection' performed by each applicant, particularly in analyzing patent portfolios.
Innovation Solution
An information processing device and method that calculates intellectual property evaluation values for each applicant in technology classifications, generates distributions based on these values, and visualizes trends using normal distributions on coordinate axes to ascertain concentration and selection patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patent information is used to analyze companies and individuals, then basic patent portfolio analysis can be performed, but the technology classification characterized by 'concentration and selection' cannot be accurately ascertained
Solution Approach 1:
The patent segments the patent portfolio analysis by dividing it into multiple technology classifications (e.g., IPC classes). For each classification, separate evaluation values are calculated, allowing the system to identify concentration patterns (where applicants focus on specific technology areas) and selection patterns (where applicants choose particular technologies over others). This segmentation enables precise measurement of technology classification characteristics that were previously lost in aggregate analysis.
2Measurement precision
If evaluation values are calculated for each applicant in each technology classification, then concentration and selection patterns can be identified, but the complexity of data processing increases
Solution Approach 1:
The system automatically performs the complex calculations of evaluation values for each applicant in each technology classification without requiring manual intervention. The distribution generation unit self-service generates probability distributions from the calculated evaluation values, and the placement unit automatically visualizes these distributions. This automation handles the computational complexity internally while presenting simplified results to users.
Solution Approach 2:
The patent transforms the raw evaluation values into probability distribution parameters (such as mean and standard deviation). By changing the parameter representation from individual evaluation values to distribution characteristics, the system simplifies the complexity of handling multiple granular data points while preserving the ability to identify concentration and selection patterns through statistical properties.
3Measurement precision
If detailed evaluation values are calculated for each technology classification, then accurate trends can be displayed, but the time and computational resources required increase
Solution Approach 1:
The system performs preliminary calculations of evaluation values for each technology classification in advance, storing these results for subsequent analysis. By pre-calculating and storing the evaluation data, the system avoids repeating complex computations when generating distributions or displaying trends, thereby reducing processing time while maintaining accurate trend display capabilities.
Solution Approach 2:
Instead of recalculating evaluation values from raw patent data each time trends need to be displayed, the system creates copies of the pre-calculated evaluation values and reuses them for multiple distribution generation and trend analysis operations. This copying approach significantly reduces computational time while preserving the accuracy of the displayed trends.
Data Source
AI summary
An information processing device includes an acquisition unit configured to acquire predetermined acquisition information from intellectual property data, a calculation unit configured to calculate, for each applicant, an intellectual property evaluation value in each technology classification in a predetermined period on the basis of the acquisition information, a distribution generation unit configured to generate a distribution on the basis of the intellectual property evaluation value calculated by the calculation unit, and a distribution placement unit configured to place the distribution.