IP Landscaping Platform with Interactive Graphical Element
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Solution Overview
Problem
Analyzing and comparing large intellectual-property portfolios across different entities is challenging due to the sheer volume of patents and patent applications, making it difficult to identify similar IP assets and visualize their landscape effectively.
Innovation Solution
An intellectual-property landscaping platform that utilizes user-seeded searches to identify and cluster IP assets based on technical fields, subject matters, and competitor entities, generating refined clusters and interactive graphical representations to visualize the IP landscape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of large intellectual-property portfolios is performed, then detailed examination of individual patents is possible, but the time and resources required increase significantly
Solution Approach 1:
The patent introduces an intermediary system comprising automated processing components, data structures, and algorithms that mediate between the large intellectual-property portfolio and the user. This intermediary automatically processes, organizes, and analyzes patent data, presenting refined results without requiring manual examination of each patent, thus resolving the contradiction between analysis accuracy and analysis time.
2Productivity
If automated processing of large intellectual-property portfolios is implemented, then analysis time is reduced, but the ability to handle complex portfolio structures and relationships deteriorates
Solution Approach 1:
The patent segments large intellectual-property portfolios into manageable subsets using hierarchical data structures and filtering mechanisms. The system divides complex portfolios into smaller, organized groups based on various criteria (e.g., technology area, legal status, geographic region), allowing automated processing to efficiently handle each segment while maintaining the ability to reconstruct and analyze the complete portfolio structure when needed.
3Loss of information
If visual representations of intellectual-property landscapes are generated, then insights and patterns become more apparent, but the complexity of the visualization system increases
Solution Approach 1:
The patent extracts and highlights only the most relevant patterns, relationships, and insights from complex intellectual-property portfolios through automated analysis algorithms. The system identifies and extracts key information such as technology trends, competitor activities, and patent clusters, presenting them in simplified visual formats that reveal important insights without requiring the user to navigate the full complexity of the underlying data structures and analysis mechanisms.
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 various functionalities and/or information associated with the clusters of IP assets. An exposure assessment component may be utilized to assess the level of exposure associated with a targeted entity by analyzing a mapping between IP assets and allocated funds of the targeted entity, generate a score representing the level of exposure, make determinations as to insurance offerings and/or alter rates associated with the insurance offerings.