Knowledge Curation Equations for Ambiguous Text Interpretation
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Solution Overview
Problem
Existing data processing systems face challenges in generating useful information from large volumes of data due to issues such as data accuracy and variations in language and dialects, leading to ambiguities in interpreting text to express knowledge effectively.
Innovation Solution
A computing system that utilizes AI servers to ingest content, extract knowledge, and interact with user devices to facilitate the generation and utilization of knowledge, employing pattern recognition and statistical reasoning to overcome ambiguities in text interpretation, and includes modules like collections, identigen intelligence, and query modules to enhance data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pattern recognition techniques and statistical reasoning are used to process text, then the system can attempt to overcome ambiguities in word interpretation, but the complexity of the system increases
Solution Approach 1:
The patent segments the text processing system into distinct functional modules: a collections module for gathering data, an identigen entigen intelligence (IEI) module for extracting and interpreting knowledge, and a query module for handling user requests. This segmentation allows each module to specialize in specific tasks, improving overall reliability while managing complexity through modular architecture.
Solution Approach 2:
The identigen IEI module serves as an intermediary between the raw text data and the query responses. It processes and interprets the text by extracting knowledge representations, acting as a mediator that transforms ambiguous textual data into structured knowledge that can reliably answer queries, thus improving interpretation accuracy without requiring the entire system to be overly complex.
2Quantity of substance
If the system processes large volumes of data from diverse sources, then the quantity of information increases, but the accuracy and usefulness of extracted knowledge decreases due to variations in language and dialects
Solution Approach 1:
The system handles variations in language and dialect by changing the parameter of data representation. The identigen IEI module transforms diverse textual data into a standardized knowledge representation format using identigens and entigens. This parameter transformation allows the system to maintain high accuracy in knowledge extraction even when processing large volumes of data from diverse linguistic sources.
3Ease of operation
If the system uses grammatical classification techniques to analyze word patterns, then it can form grammatically correct sentences, but it cannot accurately identify what the words are actually trying to describe
Solution Approach 1:
The patent extracts the essential meaning representations from the text using the identigen IEI module. Instead of relying solely on grammatical classification, the system extracts and identifies the actual semantic content (entigens) behind the words. This extraction approach allows the system to maintain ease of grammatical processing while significantly improving the accuracy of identifying what words are actually describing.
Data Source
AI summary
A method includes determining a symbolic representation of words to produce tokens of a first memory and generating a first equation package that corresponds to a first permutation of interpretation of the tokens based on one or more different meanings of the symbolic representation to produce interim knowledge. The method further includes updating the first equation package that optimizes an interpretation confidence level for the tokens based on clarifying tokens of a second memory to produce a second equation package that includes a sequence of second selected equation elements that corresponds to a second permutation of interpretation of the tokens as updated interim knowledge. The method further includes establishing a single sequence of selected equation elements as curated knowledge representing the words when the updated interim knowledge contains a single sequence of selected equation elements that corresponds to a permutation of interpretation of the tokens.