Object Classification Device Using Conceptual Hierarchical Structure
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Solution Overview
Problem
Existing object classification methods fail to effectively consider conceptual connections between keywords, leading to incomplete meaning representation in two-dimensional maps.
Innovation Solution
An object classification device that determines keywords using a conceptual hierarchical structure, orders them based on relevance, and classifies objects accordingly, allowing for visualization and retrieval of similar objects with conceptual connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If keywords are visualized in a two-dimensional map without considering conceptual connections, then the visualization is simple and easy to generate, but the meaning representation is incomplete and lacks conceptual accuracy
Solution Approach 1:
The patent introduces a hierarchical dimension to the traditional two-dimensional keyword map by integrating a conceptual hierarchical structure (thesaurus). Keywords are no longer just positioned in 2D space based on co-occurrence, but are also organized across multiple hierarchical levels (e.g., genus-species relationships). This additional dimensional organization preserves conceptual connections while maintaining the visualizability of the 2D map, thus reducing information loss without excessively increasing complexity.
Solution Approach 2:
The patent embeds the conceptual hierarchical structure within the two-dimensional keyword visualization framework. The hierarchical structure (with its nested categories and subcategories) is integrated into the 2D map, allowing keywords to be positioned both spatially and hierarchically. This nesting approach enables the system to maintain the simplicity of 2D visualization while incorporating the richer semantic information from hierarchical relationships, thereby improving meaning representation without proportionally increasing system complexity.
2Measurement precision
If keywords are ordered based on conceptual hierarchical structure, then the classification accuracy and conceptual connection are improved, but the processing complexity and time increase
Solution Approach 1:
The patent pre-establishes the conceptual hierarchical structure (thesaurus) before performing keyword visualization and classification. The hierarchical relationships between keywords are determined in advance and stored, so that during the actual visualization process, the system can directly utilize these pre-computed relationships rather than calculating them from scratch. This preliminary preparation significantly reduces the processing time required for ordering keywords while maintaining high classification accuracy.
Solution Approach 2:
The patent utilizes an existing external resource (a pre-built thesaurus or conceptual hierarchy database) rather than constructing the hierarchical structure from scratch for each visualization task. By copying or referencing this pre-existing hierarchical framework, the system avoids the computationally expensive process of building the hierarchy repeatedly, thus reducing processing time while still achieving accurate conceptual ordering of keywords.
3Loss of information
If the system considers conceptual connections between keywords, then the semantic meaning is better preserved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent introduces a thesaurus or conceptual hierarchical database as an intermediary component between the keyword extraction process and the visualization process. This intermediary structure stores pre-defined conceptual relationships between keywords, allowing the system to query and utilize these relationships without directly implementing complex semantic analysis algorithms. The intermediary simplifies the overall system architecture while preserving semantic meaning through the structured hierarchical relationships.
Data Source
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AI summary
An object classification device includes a keyword determining unit, a keyword ordering unit and a classifying unit. The keyword determining unit determines keywords for one or plural objects. The keyword ordering unit orders the plural determined keywords based on a conceptual hierarchical structure which is a structure that hierarchically represents concept of words. The classifying unit classifies the objects so as to be associated with the ordered keywords.