Classification-Expanded Document Indexing via Natural Language Translation
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Solution Overview
Problem
Current classification and indexing systems for patent documents are complex and require extensive training, limiting their accessibility to casual users and information professionals, while keyword searching often misses relevant documents due to terminology variations, losing the intellectual product embodied in classifications.
Innovation Solution
A system that supplements classification coding with keywords, titles, or definitions from classification systems, allowing search engines to index and retrieve classified documents by dynamically inserting these terms into documents, making classification-based searching accessible without requiring users to learn specific coding schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If classification systems are made sophisticated and complex to improve retrieval precision, then measurement precision is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The patent introduces an intermediary layer that translates complex classification codes into natural language terms. Search engines query using natural language keywords, which are then mapped to classification codes through the intermediary translation layer, allowing sophisticated classification to remain hidden while enabling simple user interaction.
Solution Approach 2:
The patent creates a simplified copy or representation of the classification system in natural language. Instead of requiring users to interact with the complex coded classification system directly, a natural language version is provided that mirrors the classification structure but uses accessible terminology.
2Measurement precision
If classification systems are made sophisticated and complex to improve retrieval precision, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The translation layer acts as a mediator between the user's natural language query and the complex classification system. Users interact only with the natural language interface while the intermediary handles the mapping to classification codes, eliminating the need for users to learn complex coding schemes.
Solution Approach 2:
The system provides multiple functions through a single unified interface: natural language processing, classification code mapping, and search query formulation. This universal interface handles both simple keyword searches and complex classification-based searches without requiring users to switch between different interaction modes.
3Ease of operation
If keyword searching is used to improve ease of operation, then ease of operation is improved, but loss of information increases due to terminology variations
Solution Approach 1:
The natural language translation layer serves as an intermediary that preserves the intellectual content of classification codes while making them accessible through natural language. The translation process maintains the semantic meaning and hierarchical relationships of the original classification system.
Solution Approach 2:
The patent replaces the mechanical interaction with coded classification systems with a natural language-based interaction model. Instead of requiring users to manually navigate complex classification codes, the system uses natural language processing to interpret user intent and map it to appropriate classification codes.
4Measurement precision
If multiple national classification systems are learned separately to improve retrieval precision, then measurement precision is improved, but loss of time increases due to the cumulative learning requirement
Solution Approach 1:
The patent creates a universal natural language interface that works across multiple national classification systems simultaneously. A single natural language query can be mapped to equivalent classification codes in different national systems (USPC, ECLA, FI, F-term) without requiring separate learning of each system's coding scheme.
Solution Approach 2:
The natural language translation layer acts as a universal intermediary that handles mapping between natural language queries and multiple national classification systems. This intermediary absorbs the complexity of learning multiple classification systems, allowing users to interact with all systems through a single natural language interface.
Data Source
AI summary
Document classification systems are valuable tools for searching and retrieving classified documents but can be prohibitively complex and cumbersome for users.A system for the indexing and retrieval of classified documents inserts keywords, titles or definitions of previously applied classifications into the document record and provides the resulting record to a search engine. Searchers are able to retrieve documents by searching on keywords from the classification system without looking up class coding.