Boolean Algebra for Patent Claim Mapping and Analysis
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Solution Overview
Problem
Existing methods for patent claim mapping and analysis using Boolean logic are limited in effectively identifying gaps and overlaps in intellectual property coverage, leading to inefficiencies in strategic patent management and protection.
Innovation Solution
The use of Boolean algebra to translate and manipulate patent claim language into algebraic equations, allowing for the identification of unclaimed intellectual property spaces and generation of new claims to fill gaps or block competitors, through the representation of patent claims in Boolean spaces and Karnaugh maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional Boolean logic methods are used for patent claim mapping, then basic logical analysis can be performed, but the ability to effectively identify gaps and overlaps in intellectual property coverage is limited
Solution Approach 1:
The patent extends traditional Boolean logic into multidimensional Boolean spaces where each dimension represents a distinct technical feature or claim element. This dimensional expansion allows simultaneous analysis of multiple claim characteristics, enabling precise identification of IP coverage gaps and overlaps by visualizing claim relationships in higher-dimensional space rather than being constrained to binary true/false evaluations.
Solution Approach 2:
The patent decomposes complex patent claims into discrete Boolean variables representing individual technical features, elements, or functional characteristics. By segmenting claims into manageable Boolean components, the system can systematically analyze each feature's contribution to overall IP coverage, identify specific gaps in protection, and detect overlaps with existing claims through structured logical operations.
2Reliability
If comprehensive patent claim analysis is performed to identify all gaps and overlaps, then strategic patent management improves, but the time and computational resources required increase significantly
Solution Approach 1:
The patent performs preliminary Boolean algebraic transformations and simplifications on patent claims before conducting the main analysis. By pre-processing claims into standardized Boolean expressions and identifying redundant or equivalent claim elements in advance, the system reduces the computational complexity of subsequent gap and overlap analysis, enabling comprehensive evaluation to be completed more efficiently.
Solution Approach 2:
The patent replaces manual, iterative claim analysis methods with automated Boolean algebraic computations. The system uses computer-implemented algorithms to perform logical operations, identify coverage gaps, and detect overlaps systematically, eliminating the need for time-consuming manual review while maintaining or improving analysis completeness through exhaustive computational evaluation.
Data Source
AI summary
Some aspects of this specification describe the use of Boolean algebra for patent claim mapping and analysis. In some instances, characteristics of a collection of technologies are represented as binary variables, and each of the technologies has a respective subset of the characteristics. The collection of technologies is represented as a collection of binary functions, and each binary function includes a respective subset of the binary variables. A patent claim is generated based on inverting the binary functions according to Boolean algebra.