Knowledge Discovery System Using Semantic Analysis

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Solution Overview

Problem

Current search engines are inefficient for knowledge discovery, requiring significant time and expertise to find credible information, and often provide misleading results due to manipulated rankings and the inability to effectively assess the value of compositions independently of publisher reputation.

Innovation Solution

A system and method for interactive and social knowledge discovery that assembles a Body Of Knowledge (BOK) using various sources, evaluates the significance of its partitions using Value Significance Measures (VSM), and provides users with credible and relevant information through graphical interfaces and collaborative sessions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If current search engines are used to find knowledge, then users can access vast amounts of information, but the time required to find credible information increases significantly

Engineering Contradiction:

Improveamount of informationVSAvoidtime to find credible information

Core Design Contradiction:

Quantity of substanceVSLoss of time

Solution Approach 1:

The patent replaces manual information filtering and credibility assessment with an automated computational system. The semantic analysis engine automatically evaluates information sources using multiple metrics including expertise, credibility, and timeliness scores, substituting the mechanical process of human researchers manually assessing each source with an automated algorithmic approach that processes information much faster

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates a semantic copy or representation of the information landscape by building a knowledge graph that captures relationships between concepts, sources, and evidence. This semantic model allows users to query and navigate information without manually examining every source, effectively copying the essential structure and relationships of the vast information corpus into a searchable format

Inventive Principle:

Principle #26Copying

2Ease of operation

If users rely on search engine rankings to find information, then results are easily accessible, but the reliability of the information decreases due to manipulated rankings

Engineering Contradiction:

Improveaccessibility of informationVSAvoidcredibility of information

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent introduces a semantic analysis engine as an intermediary between search engines and users. This intermediary layer independently evaluates the credibility, expertise, and timeliness of information sources, providing a trusted assessment that mediates between the potentially manipulated search engine rankings and the user's need for reliable information

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms where credibility scores, expertise levels, and timeliness metrics are continuously calculated and updated based on multiple data points. This feedback loop allows the system to dynamically adjust information presentation based on verified quality metrics rather than static search engine rankings that can be manipulated

Inventive Principle:

Principle #23Feedback

3Reliability

If researchers manually evaluate information sources for credibility, then information quality improves, but the complexity of the process increases

Engineering Contradiction:

Improvequality of informationVSAvoidcomplexity of evaluation process

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the complex task of credibility evaluation into distinct measurable components: expertise scores, credibility metrics, timeliness indicators, and relevance weights. By breaking down the holistic assessment into separable dimensions, the system can evaluate each aspect independently using specific algorithms and then combine them, making the complex process manageable and automated

Inventive Principle:

Principle #1Segmentation

4Quantity of substance

If users sift through countless pages to find answers, then comprehensive coverage is achieved, but productivity decreases

Engineering Contradiction:

Improvecomprehensive coverage of informationVSAvoidefficiency of knowledge discovery

Core Design Contradiction:

Quantity of substanceVSProductivity

Solution Approach 1:

The system extracts and presents only the essential, high-value information from vast corpora by applying semantic analysis and filtering criteria. Instead of requiring users to examine countless pages, the system extracts key findings, credible sources, and relevant evidence, presenting a condensed synthesis that maintains comprehensive coverage while dramatically reducing the volume of material users must process

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS8775365B2Interactive and social knowledge discovery sessions

Publication Date: 2014.07.08 HAMID HATAMI HANZA

AI summary

There are provided systems and methods that can assist interactively a knowledge user/contributor to obtain a straight answer to his/her request for knowledge about one or more subject matter, can mediates a large group of unknown inquirers and present them with distilled stage of knowledge related to a subject matter, and/or can guide and assist, individually or socially, to find or discover credible and value significant knowledge at much faster rate than the current traditional method of using search engine directories, social networking, blogging, and bookmarking websites. The methods, systems and services of the presented disclosure can significantly increase productivity of knowledge-based users and quality of their work.