Context-Tagged Knowledge Graph Overlays for Multi-Source Content
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Solution Overview
Problem
Existing learning technologies fail to integrate diverse content forms effectively, leading to a chasm in learning experiences, especially for complex topics, and lack intelligent generation and updating of collaborative virtual transparent overlays (VTOs) to enhance learning and collaboration.
Innovation Solution
A method and electronic device that utilize a knowledge graph to generate a collaborative virtual transparent overlay (CVTO) by tagging queries with contexts, integrating information from multiple sources, and providing access to Metaverse data, enhancing learning through reinforcement learning and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional books and lectures are used for learning, then simplicity and ease of use are maintained, but integration with video and other content forms is lost
Solution Approach 1:
The patent merges traditional books, videos, and other content forms into a unified learning system where all content types are integrated and interconnected, allowing learners to access multiple content forms through a single platform without managing separate systems
Solution Approach 2:
The learning system is designed to handle multiple content forms (text, video, audio, interactive elements) through a universal platform that can process and present diverse content types, making the system adaptable to different learning materials and methods
2Adaptability or versatility
If context-oriented content is provided to bridge the chasm, then learning integration is improved, but the complexity of intelligent generation and updating of VTOs increases
Solution Approach 1:
The system automatically generates and updates virtual transparent overlays (VTOs) without requiring manual intervention, using AI and machine learning to analyze content, determine appropriate contexts, and create contextualized learning materials autonomously
Solution Approach 2:
The system continuously updates VTOs based on learner interactions and performance data, using feedback loops to refine and improve the contextualized content generation over time, making the automation increasingly effective
3Adaptability or versatility
If static text content is used, then simplicity is maintained, but cross-channel integration and collaborative learning are limited
Solution Approach 1:
The patent adds a new dimension to static text by overlaying it with contextual information, multimedia elements, and interactive components, transforming two-dimensional text into a multi-layered, multi-dimensional learning experience that integrates multiple content channels
Data Source
AI summary
Present disclosure provides a method and an electronic device (100) for providing information associated with content. The method includes receiving, by the electronic device (100), a query with respect to the content provided in an electronic document displayed by the electronic device (100) and tagging, by the electronic device (100), the received query with at least one context of a plurality of contexts. Further, the method includes determining, by the electronic device (100), information associated to the received query based on the context of the query; generating, by the electronic device (100), a knowledge graph comprising the determined information, and providing, by the electronic device (100), the knowledge graph to the received query as a collaborative virtual transparent overlay (CVTO). The knowledge graph comprises information associated with a specific context from plurality of information sources.