Meaning-Based Document Search Through Identigen Parsing
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Solution Overview
Problem
Existing data processing systems struggle to efficiently generate and utilize knowledge from large volumes of data due to issues such as data accuracy, language and dialect variations, and ambiguities in text interpretation.
Innovation Solution
A computing system that utilizes AI servers to ingest content from various sources, extract knowledge, and interact with user devices to facilitate the generation and utilization of knowledge, including pattern recognition and grammatical analysis to produce accurate responses to queries.
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 complexity increases
Solution Approach 1:
The patent segments text processing into distinct grammatical components (functional words, nouns, adjectives, verbs, adverbs) and processes each category separately using specialized techniques. This segmentation allows the system to apply targeted pattern recognition to specific word types rather than processing entire texts uniformly, improving accuracy while managing complexity through modular processing stages.
Solution Approach 2:
The patent introduces grammatical classification as an intermediary layer between raw text input and final interpretation. By first categorizing words into grammatical types and then applying specific analysis rules to each category, the system creates a structured intermediate representation that simplifies subsequent processing while maintaining high interpretation accuracy.
2Manufacturing precision
If grammar based techniques are used to analyze word distribution, then sentence construction accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary grammatical classification of all words in the text before conducting detailed sentence structure analysis. By pre-categorizing words into grammatical types and identifying their functional roles in advance, the system prepares the data structure needed for efficient sentence construction validation, reducing the time required for the actual analysis phase while maintaining high precision.
3Adaptability or versatility
If AI servers ingest and process content from multiple sources, then knowledge generation capability is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal AI server architecture that can ingest and process multiple types of content from diverse sources using the same grammatical analysis framework. The system applies consistent pattern recognition and statistical reasoning techniques across different data types and sources, enabling versatile knowledge generation without requiring separate processing systems for each content type, thus managing complexity through standardized multi-functional processing.
Data Source
AI summary
A method executed by a computing device includes determining a set of identigens for each query word of a query to produce a plurality of sets of identigens. The method further includes interpreting, based on identigen pairing rules of a knowledge database, pairs of sequentially adjacent identigens of adjacent sets of identigens of the plurality of sets of identigens to determine a most likely meaning interpretation of the query and produce a query entigen group. The method further includes identifying a set of entigen variations associated with the query entigen group utilizing the knowledge database to produce an expanded query entigen group. The method further includes obtaining knowledge associated with the first entigen variation of the set of entigen variations.