Interactive Patent Visualization System for Document Analysis
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Solution Overview
Problem
The increasing number of patent applications and patents makes it difficult to understand and communicate patent documents effectively, necessitating automated systems for dynamic visualization of patent information.
Innovation Solution
A system and method for interactive patent visualization using a dynamic graphical user interface (GUI) that provides a patent forecast diagram, allowing users to visualize patent documents over time, group them by categories, and apply colors/shading based on assignees, with integration of machine learning for automated tagging, grouping, and association of patent documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of patent applications increases to reflect technology innovation, then more patent protection is available, but understanding and communicating patent documents becomes more difficult
Solution Approach 1:
The patent document is segmented into multiple visual components including claims visualization, specification highlights, figure representations, and citation networks. Each component breaks down complex patent information into manageable graphical elements that can be independently analyzed and understood.
Solution Approach 2:
The patent system transitions from traditional linear text-based patent documents to multi-dimensional interactive visualizations. The graphical user interface adds spatial, temporal, and relational dimensions to patent information, allowing users to navigate and understand patent documents through visual exploration rather than sequential reading.
2Ease of operation
If automated systems are implemented to visualize patent information, then understanding patent documents improves, but system complexity increases
Solution Approach 1:
The automated visualization system is designed to handle multiple patent document types, classification schemes, and analysis functions through a single unified platform. The system can simultaneously perform text mining, data visualization, classification, and comparison operations across diverse patent datasets without requiring separate specialized tools.
Solution Approach 2:
The graphical user interface serves as an intermediary layer between the complex automated analysis engine and the user. It translates complex data processing operations into intuitive visual representations, shielding users from system complexity while delivering enhanced understanding of patent documents.
3Loss of information
If dynamic interactive GUI visualization is provided for patent documents, then communication of patent information improves, but information processing requirements increase
Solution Approach 1:
The system performs preliminary text mining, data extraction, and organization operations during the initial processing phase, storing results in structured formats optimized for visualization. This preliminary action reduces the computational burden during interactive querying and display operations, as data is already prepared and indexed for rapid retrieval.
Solution Approach 2:
The system creates simplified graphical copies and representations of patent information rather than processing and displaying all original text and data. Visual abstractions such as claim diagrams, citation networks, and keyword clouds capture essential patent information in compact visual forms that require less processing power than full-text rendering.
Data Source
AI summary
An interactive, dynamic GUI for visualization of patent documents including content-dense graphics illustrating the number, content size, type of a multiplicity of patent documents (issued or granted patent versus published pending application), distributed over time, with comparison to similar patent documents, market events, and expert insights based upon content of specification or detailed description and claims, all within a predetermined technology sector having at least one sub-sector or category within the technology sector.