AI Patent Extraction System for Objective and Solution Identification
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Solution Overview
Problem
Patent documents often contain extensive technical content, making it difficult to identify and extract the objectives and solutions efficiently, which is crucial for R&D strategy development and patent analysis.
Innovation Solution
A method using artificial intelligence (AI) to extract objectives and solutions from patent documents, involving the processing of technical content, displaying extracted information, and searching for similar patent documents based on objectives or solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If patent documents contain extensive technical content spanning dozens of pages, then the technical information is comprehensive and detailed, but it becomes difficult to clearly identify which parts correspond to the objectives and solutions
Solution Approach 1:
The patent extracts the essential elements (objectives and solutions) from the extensive technical content by using AI models to identify and separate these key components from the full patent document, making them easily identifiable despite the large volume of technical content
Solution Approach 2:
The patent introduces an AI-based intermediary system that acts as a mediator between the extensive technical content and the user, automatically analyzing the patent document and presenting only the relevant objectives and solutions without requiring manual searching through the full text
2Measurement precision
If manual analysis of patent documents is performed to identify objectives and solutions, then accuracy can be maintained, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces the mechanical manual analysis process with an AI-based automated system that uses natural language processing and machine learning models to extract objectives and solutions, maintaining accuracy while dramatically reducing the time required
Solution Approach 2:
The patent enables the patent document itself to be self-analyzed through AI models that automatically identify and extract objectives and solutions without requiring human intervention, making the extraction process efficient and scalable
3Productivity
If AI models are used to extract objectives and solutions, then extraction speed and efficiency improve, but the complexity of the system increases
Solution Approach 1:
The patent employs a universal AI model framework that can handle multiple patent documents and various types of technical content with a single system, achieving high extraction speed while managing complexity through standardized processing approaches
Solution Approach 2:
The patent segments the complex extraction task into distinct processing stages (input reception, AI model processing, output generation) and uses specialized models for different functions, making the overall system more manageable despite the increased complexity
Data Source
AI summary
A method and a computing device for extracting the objective and solution of patent document based on artificial intelligence AI is disclosed. The method for extracting objectives and solutions from patent documents performed by a computing device, comprising: extracting objectives and solutions from the technical content included in a first patent document; receiving a viewing request for the first patent document; displaying the objectives and solutions of the first patent document in response to the viewing request; searching for at least one second patent document having the same or similar solution as the patent document and having different objectives, in response to a searching request for the objective form a user; and providing at least one second patent documents.