Topological Navigation Map for Multimedia Data Search
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Solution Overview
Problem
Current search engines fail to effectively navigate and aggregate multimedia data due to their inability to recognize context, leading to irrelevant results and inefficient information retrieval, especially in large data volumes and dynamic environments, and they cannot detect mood or opinion fluctuations of network users.
Innovation Solution
A system for user-controlled multi-dimensional navigation and subject-based aggregation of multimedia data, which generates node elements from search terms, determines relevance index parameters, and uses these to create a topological navigation map, allowing intuitive access and filtering of data based on relevance and mood variables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional search engines index and search all accessible documents, then the quantity of searchable data is maximized, but the relevance and quality of search results deteriorates due to inability to recognize context
Solution Approach 1:
The patent segments the monolithic search approach into multiple specialized search engines, each dedicated to a specific subject field (e.g., legal, medical, technical). Each engine develops specialized indexing and classification capabilities for its domain, enabling context-aware searching while maintaining comprehensive coverage across all fields collectively.
Solution Approach 2:
The patent introduces a portal system as an intermediary that coordinates between multiple specialized search engines. The portal receives user queries, routes them to appropriate specialized engines, aggregates results, and presents unified responses, thereby enabling context-aware searching across diverse domains without requiring each engine to understand all contexts.
2Adaptability or versatility
If search engines attempt to classify all documents for all subjects, then the completeness of coverage is improved, but the complexity and resource requirements become impossible to manage
Solution Approach 1:
The patent divides the impossible task of universal document classification into manageable segments by creating specialized search engines for specific subject fields. Each engine handles classification only within its domain expertise, dramatically reducing individual complexity while collectively achieving comprehensive coverage through the portal's coordination.
Solution Approach 2:
The portal system serves as a universal interface that handles multiple functions: receiving queries from users, routing to appropriate specialized engines, aggregating results from multiple sources, and presenting unified responses. This multi-functional approach enables comprehensive subject coverage without requiring each component to handle all subjects.
3Quantity of substance
If search engines provide comprehensive indexing of all documents, then the quantity of available information increases, but the user's ability to preserve overview and navigate results deteriorates
Solution Approach 1:
The patent segments the overwhelming body of search results into organized groups by subject field, with each specialized search engine returning results tailored to its domain. This segmentation prevents users from being overwhelmed by unstructured data floods while maintaining access to comprehensive information through the portal's coordinated presentation.
4Device complexity
If search engines operate independently without coordination, then the simplicity of individual engine operation is maintained, but the ability to provide context-aware results across multiple subjects deteriorates
Solution Approach 1:
The patent introduces the portal as an intermediary layer that maintains operational simplicity of individual specialized engines while enabling context-aware cross-subject searching. The portal handles the complexity of coordination, query routing, and result aggregation, allowing each engine to remain simple and specialized while the system as a whole achieves sophisticated context recognition.
Data Source
AI summary
A system and method for user-controlled multi-dimensional navigation and/or subject-based aggregation of multimedia data, a multiplicity of node elements being generated and a node element including one or more search terms and/or weighting terms that can be logically combined. For each multimedia data element to be registered, a relevance index parameter is determined for each paired combination of node elements and allocated to the respective pair of node elements. In dependence on the relevance index parameters, one- or multi-dimensional distance factors are determined. Based on the registered multimedia data elements and/or node elements, a topological navigation map is generated and graphically displayed in dependence on the respective one- or multi-dimensional distance factors so that the user can navigate in the topological navigation map by an input device and can access required multimedia data elements and/or node elements.