Query Response System Using Identigen Entigen Intelligence
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Solution Overview
Problem
Current computing systems face challenges in extracting useful information from large volumes of data due to issues like data accuracy and variations in how text is interpreted across languages and dialects, leading to ambiguities in representing knowledge.
Innovation Solution
A computing system that utilizes AI servers to ingest content, extract knowledge, and interact with user devices by generating and utilizing data representations, including pattern recognition techniques and grammatical analysis to produce accurate responses to queries, involving modules like collections, identigen entigen intelligence, and query modules to handle content requests and provide answers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pattern recognition techniques and statistical reasoning are used to process text, then text interpretation accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and indexing text data into structured representations (identigens and entigens) before queries are submitted. This advance preparation allows the system to quickly retrieve and compare pre-processed information rather than analyzing raw text in real-time, thereby maintaining high accuracy while reducing processing time for query responses.
Solution Approach 2:
The patent segments text into discrete linguistic units (identigens representing word meanings and entigens representing concepts) that can be independently processed and stored. This segmentation allows the system to work with compact, standardized representations rather than entire text documents, significantly improving query processing speed while maintaining interpretation accuracy through the structured organization of semantic elements.
2Manufacturing precision
If grammar based techniques are used to analyze word distribution, then sentence construction accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer of structured representations (identigens and entigens) between raw text and grammatical analysis. This intermediary structure captures semantic relationships and word meanings in a standardized format, allowing grammatical rules to operate on pre-analyzed semantic units rather than raw text, thereby improving sentence construction accuracy while reducing the complexity of grammatical processing.
3Adaptability or versatility
If multiple languages and dialects are supported, then system versatility is improved, but data interpretation consistency deteriorates
Solution Approach 1:
The patent creates a universal representation system where text from any language or dialect is transformed into language-independent identigens (word meaning units) and entigens (concept units). This universal structure allows the system to maintain consistency in data interpretation across multiple languages by mapping diverse linguistic expressions to a common semantic framework, enabling versatile language support without sacrificing interpretation consistency.
Data Source
AI summary
A computer-implemented method includes determining a set of identigens for each word of a query to produce sets of identigens and interpreting pairs of adjacent identigens of adjacent sets of identigens to determine a most likely meaning of the query and produce a query entigen group. The method further includes identifying entigens of a knowledge database that compare favorably to the query entigen group to produce an initial entigen group and determining whether the initial entigen group requires one or more future available entigens to provide a complete response to the query. When required, the method further includes creating the one or more future available entigens based on obtained targeted data, adding the one or more future available entigens to the initial entigen group to produce an updated entigen group, and outputting the complete response based on the updated entigen group.