Semantic Search Intent Graph for Patent Discovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search technologies, including keyword and semantic-based searches, struggle to accurately interpret the intent behind search queries, particularly in cross-disciplinary domains, leading to irrelevant results and limitations in discovering innovative applications of knowledge across different fields.
Innovation Solution
The development of a MetaLanguage system that abstracts search queries and documents into Fundamental Attributes, including Fundamental Nature and Fundamental Actions, enabling a universal language for different knowledge domains to facilitate cross-industry applications and innovative associations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If keyword-based search is used, then search simplicity is maintained, but search accuracy and intent interpretation deteriorate
Solution Approach 1:
The patent introduces an intermediary layer called 'intent graph' that mediates between the user's simple keyword query and the complex document database. The intent graph translates keywords into semantic relationships and contextual meanings, enabling accurate intent interpretation while maintaining simple user input. This intermediary structure resolves the contradiction by bridging the gap between search simplicity and accuracy.
Solution Approach 2:
The patent changes the fundamental parameters of search from keyword matching to intent-based semantic matching. By transforming the search mechanism from surface-level keyword comparison to deep-level intent analysis using neural networks and knowledge graphs, the system achieves higher search accuracy while preserving ease of use through natural language queries.
2Ease of manufacture
If category-based search is used, then search organization is improved, but search creativity and cross-disciplinary discovery deteriorate
Solution Approach 1:
The patent creates a universal search framework that handles multiple search types (keyword, category, semantic) through a single intent graph structure. This multi-functional system can organize searches by categories when needed while also enabling creative cross-disciplinary discoveries by leveraging the universal intent representation that transcends traditional category boundaries.
Solution Approach 2:
The patent adds a new dimension to search organization by introducing the intent graph as an intermediate representation layer. Instead of organizing only by traditional categories or keywords, the system organizes by semantic intents and relationships, enabling both structured organization and creative cross-domain associations simultaneously.
3Speed
If traditional search indexing is used, then search speed is maintained, but search relevance and contextual understanding deteriorate
Solution Approach 1:
The patent performs preliminary action by pre-computing and storing the intent graph and semantic relationships during an indexing phase. This preliminary processing of document contexts and relationships enables fast search queries to be answered through efficient graph traversal rather than complex real-time analysis, maintaining search speed while achieving superior contextual understanding.
Solution Approach 2:
The patent replaces traditional mechanical keyword indexing systems with a neural network-based semantic understanding system. By substituting the mechanical keyword matching process with intelligent intent analysis using deep learning models, the system achieves both fast search response and deep contextual understanding of document relationships.
Data Source
AI summary
A computer-implemented method is provided for searching documents containing complex bodies of knowledge, such as patents and research papers. The computer-implemented method and related hardware and software provides methodology to interpret the intent of the searcher (the meaning of the searcher's query) into a MetaLanguage, including but not limited to the use of Fundamental Nature Attributes, Fundamental Action Attributes and Weighting of these attributes as it pertains to the intent of the searcher. The invention relates to semantic based searches. The same methodology that is used on the searcher's query is also used to mine and store the existing databases of patents and research papers into databases of MetaLanguage for the purpose of producing search results that better match search inquiries.