Patent Evaluation System Using Technical Clustering
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Solution Overview
Problem
Current patent management platforms are unable to effectively evaluate the value of patents beyond technical hotspots, limiting their utility in guiding development and predicting future trends.
Innovation Solution
A patent evaluation method and system that uses natural language processing and complex network algorithms to aggregate patents into technical clusters, assigning scientific and technological attributes, and evaluating them within a global industry framework, enabling a comprehensive assessment of patent value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If patent evaluation is performed using single-dimensional technical hot spot analysis, then the evaluation process is simple, but the evaluation comprehensiveness is insufficient
Solution Approach 1:
The patent evaluation process is segmented into multiple independent dimensions including technical dimension (patent clustering, technology lifecycle), legal dimension (citation analysis, claim scope), and commercial dimension (market value, licensing potential). Each dimension is evaluated separately and then integrated to form a comprehensive patent value assessment, resolving the contradiction between simple process and comprehensive evaluation.
Solution Approach 2:
The evaluation system transitions from single-dimensional technical hot spot analysis to multi-dimensional evaluation by adding legal and commercial dimensions. This dimensional expansion allows comprehensive patent value assessment while maintaining systematic process structure through modular dimension design.
2Ease of operation
If patent documents are evaluated individually without clustering, then the evaluation is straightforward, but the ability to reflect patent depth and breadth is limited
Solution Approach 1:
Individual patent documents are merged into technical clusters based on semantic similarity and citation relationships. Patents with related technologies are grouped together to form clusters that reflect technical depth (number of related patents) and breadth (diversity of applications). This merging enables comprehensive measurement while maintaining operational simplicity through automated clustering algorithms.
Solution Approach 2:
Manual individual patent evaluation is replaced with automated text mining and natural language processing systems. The system automatically extracts technical features, performs semantic analysis, and computes patent relationships, replacing manual mechanical evaluation processes with intelligent automated systems that can handle large volumes of patents efficiently.
3Measurement precision
If comprehensive multi-dimensional patent evaluation is implemented, then patent value assessment is thorough, but the system complexity increases
Solution Approach 1:
The evaluation system is designed as a dynamic modular architecture where different evaluation dimensions can be activated or deactivated based on specific needs. The system dynamically adjusts evaluation parameters, cluster thresholds, and dimension weights according to the evaluation context, allowing comprehensive evaluation capability while maintaining operational flexibility and reducing unnecessary complexity.
Solution Approach 2:
The evaluation system is designed with universal components that can serve multiple functions. For example, the patent clustering module serves both technical depth measurement and technology trend analysis. The citation analysis module functions for both legal strength assessment and influence measurement. This multi-functionality reduces overall system complexity while maintaining comprehensive evaluation capability.
Data Source
AI summary
A patent evaluation method and system thereof are provided. The method includes collecting patent documents, and further includes the following steps: generating technical points and patent-affiliated technical points; generating technical clusters and patent-affiliated cluster; performing a patent evaluation in each of the technical clusters. The patent evaluation method and system proposed in the present invention aggregates the patents in a technical cluster mode through natural language processing and complex network algorithms, gives patents scientific and technological attributes, and places the patents in a global same industry for evaluation.