Interactive Patent Visualization for Complex Portfolio Analysis
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Solution Overview
Problem
The increasing number of patent applications and the complexity of understanding and communicating patent documents make it difficult for users to effectively analyze and visualize patent information, especially with the rise of technology innovation and the need for patent protection.
Innovation Solution
A system and method for dynamic, interactive graphical user interface (GUI) visualization of patent documents, including text-based descriptions and diagrams, using machine learning and artificial intelligence to provide insights and comparisons across technology sectors, with automated tagging and grouping of patent documents and related business events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of patent applications increases to support technology innovation, then more patent protection is available, but the complexity of understanding and communicating patent documents increases
Solution Approach 1:
The patent document analysis system segments complex patent documents into structured components including claims, specifications, figures, and metadata. The visualization interface further segments information into hierarchical categories (technology sectors, sub-sectors, patent families) allowing users to navigate complex patent landscapes systematically without being overwhelmed by document complexity
Solution Approach 2:
The patent visualization system acts as an intermediary between raw patent documents and users. It processes, structures, and presents patent information through multiple layers of abstraction including automated tagging systems, relationship graphs, and comparative analyses, transforming unstructured legal text into actionable intelligence
2Loss of information
If more patent documents are analyzed to provide comprehensive insights, then better technology evolution understanding is achieved, but the time and resources required for analysis increase
Solution Approach 1:
The system performs preliminary actions by pre-processing patent documents during ingestion, including automated extraction of key technical terms, classification into technology sectors, identification of patent family relationships, and generation of metadata. This preliminary structuring enables rapid querying and analysis without re-processing full documents each time
Solution Approach 2:
The system creates simplified copies and representations of patent documents including abstracts, claim summaries, and visualizations that capture essential information without requiring analysis of complete original documents. These copies enable rapid comparison and insight generation across large patent sets
3Measurement precision
If detailed patent document analysis is performed to provide accurate insights, then measurement precision improves, but the difficulty of detecting and measuring patent relationships increases
Solution Approach 1:
The visualization system uses color-coded indicators to represent different patent attributes, relationship types, and analysis results. Colors provide immediate visual cues about patent status, technology classification, citation relationships, and similarity metrics, making complex relationship detection intuitive without requiring detailed manual analysis
Solution Approach 2:
The system transforms patent relationship data from traditional linear text analysis into multi-dimensional visual representations including network graphs, timelines, and spatial distributions. These dimensional transformations reveal patterns and relationships that would be difficult to detect in conventional document formats
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.