Cognitive Ontology Graph for Search Construct Validation
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Solution Overview
Problem
Established search engines face difficulties in learning new topics and cross-disciplinary collaboration due to varying definitions and references of constructs across disciplines, leading to suboptimal user understanding of search results.
Innovation Solution
A system for search construct validation that generates a cognitive ontology graph illustrating the relationship between the search query construct and related constructs in search results, including hierarchy and strength of relationships, displayed through an interactive user interface to enhance user understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If search engines use constructs in search queries to generate search results, then search results can be generated efficiently, but user understanding of the constructs becomes suboptimal due to varying definitions across disciplines
Solution Approach 1:
The patent introduces a knowledge graph as an intermediary layer between search queries and search results. The knowledge graph maps constructs from the search query to their corresponding constructs in search results, providing explicit contextual information about relationships between constructs. This mediator resolves the ambiguity by showing users how constructs from different disciplines are connected, improving understanding without sacrificing search efficiency.
2Adaptability or versatility
If constructs are defined and referred to differently across disciplines, then search engines can handle diverse topics, but cross-disciplinary collaboration and learning become difficult
Solution Approach 1:
The knowledge graph serves as a universal representation that can accommodate constructs from multiple disciplines simultaneously. By mapping diverse constructs to a unified structural framework with hierarchical relationships, the system enables users to navigate across-disciplinary concepts smoothly. The graph's universal structure allows any construct to be understood in relation to others, facilitating both search versatility and cross-disciplinary learning.
3Adaptability or versatility
If many constructs are not precisely defined, then search engines can process varied queries, but confusion increases in interpreting search results
Solution Approach 1:
The patent segments the construct mapping process into distinct components: identifying constructs in queries, retrieving corresponding constructs in results, and mapping relationships between them. This segmentation allows the system to handle imprecise constructs in queries while providing precise relational information through the knowledge graph. Each segment can process constructs at its own level of precision, ultimately resolving ambiguity through the mapped relationships.
Data Source
AI summary
A method for search construct validation is described. The method includes determining a construct of a search query recognized on a search engine of a third party webpage and related constructs represented in a plurality of search results generated based on the search query. The method includes mapping the determined construct to the related constructs represented in the plurality of search results generated based on the search query. The method includes generating a knowledge graph illustrating the mapping between the determined construct and the related constructs and a hierarchy and a strength of a conceptual relationship between the determined construct and the related constructs. The method includes displaying, via an interactive user interface, an interactive graph illustrating the mapping between the determined construct and the plurality of related constructs and the hierarchy and the strength of the conceptual relationship between the determined construct and the plurality of related constructs.