IP Landscaping Platform for Portfolio Similarity Analysis
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Solution Overview
Problem
Determining whether separate entities have similar intellectual-property portfolios, particularly with entities having large portfolios, is difficult and inefficient.
Innovation Solution
An IP landscaping platform is configured to analyze and generate visual representations of intellectual-property portfolios by identifying similar IP assets, clustering them based on technical aspects, and providing an interactive graphical element for visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of intellectual-property portfolios is used, then detailed inspection of individual patents is possible, but the process becomes time-consuming and inefficient for large portfolios
Solution Approach 1:
The patent replaces manual mechanical analysis with automated computer-based systems that use algorithms to compare patent documents. The system automatically processes large volumes of IP assets, generating visual representations and identifying similarities without human intervention, thereby resolving the contradiction between detailed analysis capability and time efficiency.
Solution Approach 2:
The system creates visual representations and digital models of patent portfolios that can be replicated and analyzed multiple times without additional time cost. These visual representations allow simultaneous examination of multiple patents and entities, enabling detailed comparison while maintaining speed through digital copying rather than manual review.
2Productivity
If automated algorithms are used to identify similar IP assets, then analysis speed increases, but the complexity of the system increases
Solution Approach 1:
The patent divides the complex task of portfolio comparison into separate functional modules: document processing, similarity calculation, visualization generation, and user interface components. This segmentation allows each module to be optimized independently, managing overall system complexity while maintaining high productivity through specialized algorithms in each segment.
Solution Approach 2:
The system introduces visual representations as an intermediary between raw patent data and user analysis. These visualizations serve as a mediating layer that simplifies the output of complex algorithms, making the results interpretable without requiring users to understand the underlying computational complexity, thus managing system complexity from the user perspective.
3Quantity of substance
If comprehensive analysis of large IP portfolios is performed, then complete coverage of technical fields is achieved, but the difficulty of detecting and measuring similarities increases
Solution Approach 1:
The patent transforms the analysis from traditional one-dimensional keyword matching to multi-dimensional visual representations that capture relationships between patents, entities, and technical fields. By projecting IP assets into visual spaces with multiple dimensions (technical field, entity association, similarity metrics), the system makes detecting similarities easier even as the quantity of analyzed assets increases.
Solution Approach 2:
The system uses visual representations with color coding and graphical elements to indicate similarity levels, patent status, and relationships between different IP assets. This visual encoding transforms abstract similarity measurements into intuitive visual patterns, making it easier to detect and measure similarities across large portfolios without increasing cognitive difficulty for users.
Data Source
AI summary
Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include a slider filter control that may be configured to receive user input representing a lower bound and/or an upper bound associated with an actual date (e.g., a year, a month, a day, etc.) associated with the IP assets included in the clusters of a selected result set.