Patent Claim Mapping for Faster Relevancy Analysis
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Solution Overview
Problem
Existing patent search tools provide large volumes of irrelevant results, lack quick relevancy determination, and fail to present results in a manner that facilitates efficient analysis for prior art assessment.
Innovation Solution
A system and method for patent mapping that utilizes a database of patent portfolios, allows for mapping patent claims to concepts, and generates visual representations to quickly analyze patents for claim coverage and value, incorporating technology categories and scope concepts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional Boolean query search is used, then comprehensive search coverage is achieved, but the number of results becomes large and mostly irrelevant
Solution Approach 1:
The patent extracts and highlights only the most relevant portions of patent documents (such as claims, abstracts, and key descriptive passages) while filtering out irrelevant content. This extraction approach allows the system to present a reduced set of high-quality results that maintain comprehensive search coverage while eliminating the majority of irrelevant information that traditionally overwhelms users.
Solution Approach 2:
The patent applies different levels of detail and presentation quality to different portions of search results based on their relevance. Highly relevant results receive enhanced presentation with additional context, claims, and descriptive information, while less relevant results are summarized more concisely. This local differentiation of quality allows users to quickly identify and access only the most pertinent information.
2Loss of information
If detailed patent information is provided, then comprehensive analysis is enabled, but quick relevancy determination becomes difficult
Solution Approach 1:
The patent segments patent information into distinct hierarchical levels: summary level (abstract and key descriptive passages), detailed level (full claims and specification), and navigation level (links to complete documents). This segmentation allows users to quickly assess relevance at the summary level without being overwhelmed by complete document details, while still maintaining access to comprehensive information when needed.
Solution Approach 2:
The patent performs preliminary processing of patent documents to extract, organize, and pre-annotate key information such as claims, abstracts, and descriptive passages before user interaction. This preliminary action prepares the information in advance, allowing users to quickly determine relevance by reviewing pre-organized summaries rather than reading complete documents from scratch.
3Reliability
If traditional document presentation format is used, then authenticity of original documents is maintained, but efficient analysis of large volumes of prior art is hindered
Solution Approach 1:
The patent creates structured representations and summaries of patent documents that capture essential information (claims, abstracts, key passages) in a standardized, easily analyzable format. These copies maintain the accuracy and authenticity of the original documents while presenting the information in a optimized structure that enables rapid analysis of large volumes of prior art through consistent formatting and hierarchical organization.
Data Source
AI summary
System and method permit patent mapping. A method may comprise maintaining a database of patent portfolios and a database of patents with each patent stored in the database of patents associated with one or more patent portfolios stored in the database of patent portfolios. A target subject matter to be mapped is identified and a search query associated with the target subject matter is received. Search results are generated to define a first patent portfolio in the database with the search results including one or more patent claims associated with the search query. The one or more patent claims are mapped to a patent concept.