Entigen Group Curing for Knowledge Database Deficiency
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Solution Overview
Problem
Existing computing systems face challenges in efficiently extracting useful information from large volumes of data due to issues like data accuracy and variations in text interpretation across languages and dialects.
Innovation Solution
The computing system employs a method that includes generating data representations of data, analyzing the data using these representations, and utilizing AI servers to ingest content, extract knowledge, and interact with user devices to provide responses to queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pattern recognition techniques are used to process text, then the system can attempt to overcome ambiguities in words, but the accuracy of text interpretation remains insufficient across different languages and dialects
Solution Approach 1:
The patent segments the text processing task into multiple stages: tokenization, pattern matching, grammatical classification, and semantic interpretation. Each stage handles specific aspects of text analysis, allowing the system to progressively refine its understanding of text across different languages and dialects, thereby improving both accuracy and adaptability.
Solution Approach 2:
The system employs a universal pattern recognition framework that can handle multiple languages and dialects through a common grammatical classification approach. By classifying words into major grammatical types (functional words, nouns, adjectives, verbs, adverbs) and using these classifications to study word distribution patterns, the system achieves multi-lingual adaptability while maintaining processing accuracy.
2Ease of operation
If grammar based techniques are used to classify words into grammatical types, then the system can force words to support grammatical operations, but the system cannot accurately identify what the word is actually trying to describe
Solution Approach 1:
The system performs preliminary grammatical classification of words into major types before attempting semantic interpretation. This preliminary action establishes a framework of grammatical expectations that guides subsequent pattern matching and meaning identification, ensuring that words are processed in a consistent grammatical manner while still allowing for accurate semantic identification through contextual pattern analysis.
Data Source
AI summary
A method executed by a computing device includes determining to extend knowledge within a knowledge database for an object represented by linked entigens of an entigen group based on a deficiency of the entigen group. The method further includes determining a set of identigens for each word of a phrase associated with the object to produce sets of identigens. The method further includes interpreting the sets of identigens to determine a most likely meaning interpretation of the phrase and produce a new entigen group. The method further includes updating the entigen group utilizing the new entigen group to produce a curated entigen group such that a deficiency of the entigen group is resolved providing more accurate and more complete knowledge of the object.