Patent Portfolio Visualization Using Share and Rank Analysis
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Solution Overview
Problem
Existing techniques struggle to effectively identify the characteristics of a specific applicant's technical portfolio, making it difficult to understand their technological focus and trends.
Innovation Solution
An information processing apparatus and method that acquires patent information, identifies the number of patents held by each applicant and a specific applicant for predetermined technical classifications, calculates shares and ranks, and generates visual display information using plots and approximation curves to quantify and trend the applicant's technical portfolio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patent information is collected and analyzed using conventional methods, then patent data can be aggregated and evaluated, but it is difficult to effectively identify the characteristics of a specific applicant's technical portfolio
Solution Approach 1:
The patent segments the technical portfolio analysis by dividing it into distinct components: patent collection module, classification module (dividing into representative and non-representative patents), evaluation module, and visualization module. This segmentation allows the system to focus on identifying characteristic technologies separately from other patents, improving the accuracy of technical portfolio characterization while managing system complexity through modular design.
Solution Approach 2:
The patent extracts representative patents from the overall patent portfolio that truly characterize the applicant's technical focus. By separating and extracting only those patents that are representative of the applicant's core technology areas, the system achieves precise identification of technical portfolio characteristics without being overwhelmed by the entire patent dataset, thus improving measurement precision while keeping the analysis manageable.
2Measurement precision
If detailed patent analysis is performed for each applicant, then accurate technical portfolio characteristics can be identified, but the processing time and computational resources increase
Solution Approach 1:
The patent extracts only the essential representative patents from each applicant's portfolio that truly reflect their technical characteristics. By extracting and focusing analysis on these key representative patents rather than analyzing every patent in detail, the system achieves accurate identification of technical focus while significantly reducing the time and computational resources required for processing.
Solution Approach 2:
The patent applies partial action by performing detailed analysis only on representative patents rather than all patents. This selective approach provides sufficient information to accurately identify technical portfolio characteristics without the excessive time and resource investment that would result from analyzing every patent in full detail.
3Quantity of substance
If patent data is presented in detailed tabular format, then comprehensive information is provided, but it becomes difficult to visually identify trends and characteristics
Solution Approach 1:
The patent transforms the patent portfolio information from traditional two-dimensional tabular format into a three-dimensional coordinate system visualization. Each representative patent is plotted as a point in 3D space with coordinates representing different technical dimensions, allowing users to visually identify trends, clusters, and characteristics of the technical portfolio while preserving comprehensive information about the patent distribution across multiple technical areas.
Data Source
AI summary
An information processing apparatus includes circuitry configured to acquire patent information related to a plurality of patents; to identify first information including a number of patents held by each applicant for a predetermined technical classification, and a number of patents held by a specific applicant for the predetermined technical classification, based on the patent information; and to calculate second information based on the first information, the second information including at least one of a share or a rank of the specific applicant for the predetermined technical classification.