Patent Concentration Analysis Across Time-Based Technical Classifications
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Solution Overview
Problem
Conventional techniques struggle to effectively identify the development and investment activities of a specific applicant based on patent information.
Innovation Solution
An information processing apparatus and method that calculates a concentration degree on technical classifications of patents held by a specific applicant, allowing for the identification of development and investment activities through the use of circuitry to acquire and analyze patent information, generate graphical displays, and compare financial indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If patent information is analyzed using conventional counting and growth rate methods, then basic patent statistics can be obtained, but the ability to identify development and investment activities of specific applicants is insufficient
Solution Approach 1:
The patent introduces a concentration degree parameter that measures the distribution of patents across different technical classifications. By calculating this parameter for different time periods and comparing changes, the system transforms raw patent count data into meaningful indicators of development and investment activities, thereby recovering lost information and improving measurement precision.
Solution Approach 2:
The patent adds a new dimension of analysis by introducing technical classification distribution as a parameter. Instead of only analyzing patent counts, the system analyzes how patents are distributed across different technical fields, creating a multi-dimensional view that enables identification of strategic focus and activity changes.
2Loss of time
If patent information is analyzed without time-period classification, then overall patent statistics can be obtained, but time-dependent changes in development activities cannot be identified
Solution Approach 1:
The patent segments the patent portfolio into different time periods (first period and second period) and calculates concentration degree separately for each period. This temporal segmentation enables the detection of changes in technical focus and investment patterns over time, recovering time-dependent information that would be lost in aggregate analysis.
Solution Approach 2:
The system calculates concentration degree for multiple time periods and compares the results to identify changes. This feedback mechanism provides continuous monitoring capability, allowing stakeholders to track how an applicant's development and investment activities evolve over time and respond accordingly.
3Loss of information
If detailed analysis of all patent classifications is performed, then comprehensive understanding of technical portfolio can be achieved, but the complexity of analysis increases significantly
Solution Approach 1:
The patent transforms the complex multi-classification patent portfolio analysis into a single concentration degree parameter that captures the overall distribution pattern. This parameter transformation simplifies the analysis while preserving comprehensive information about technical focus, as the concentration degree reflects the degree of specialization or diversification across all classifications simultaneously.
Data Source
AI summary
An information processing apparatus includes circuitry configured to acquire patent information related to a plurality of patents held by a specific applicant; and calculate a concentration degree on a technical classification, the technical classification being extracted under a predetermined condition from a patent group, and the patent group representing a group of patents classified into a predetermined period among the plurality of patents held by the specific applicant.