Data Exploration Component for Active Semantic Representation
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Solution Overview
Problem
Existing data storage and retrieval systems struggle to convey complex, semantically rich information in a clear and concise manner, often abstracting away complexity or overwhelming users with excessive data, making it difficult to understand and share.
Innovation Solution
A data exploration component that analyzes data models to identify entities and relationships, generating atom and link data entities with assigned behaviors, creating an active representation that allows for manipulation and visualization of semantically rich information without requiring complex algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standard presentation or drawing tools are used to convey complex information, then the information can be presented in a structured format, but the complexity is either lost through excessive abstraction or the presentation becomes overwhelming with too much information
Solution Approach 1:
The patent segments complex data models into atomic data entities that represent fundamental units of information. Each atom data entity is a self-contained unit that can be independently manipulated, allowing complex information to be broken down into manageable pieces that preserve the underlying complexity while making it accessible to users through interactive exploration rather than static presentations
2Ease of operation
If data is split into smaller data elements for easier understanding, then the information becomes more manageable, but the benefit of storing semantically rich information in a storage and retrieval mechanism is lost
Solution Approach 1:
The patent introduces link data entities as intermediaries that connect atom data entities while preserving the semantic relationships between them. These link entities act as mediators that maintain the semantic richness of the original data model even as the data is segmented into smaller atomic units, allowing users to explore simplified representations without losing the underlying semantic connections
3Loss of information
If complex tools are used to manipulate data into meaningful forms, then the data can be transformed into understandable representations, but the process becomes difficult and time-consuming
Solution Approach 1:
The patent implements self-organizing behavior in data entities through assigned behavior patterns. Atom data entities and link data entities automatically organize themselves into meaningful representations based on their inherent properties and relationships, eliminating the need for complex manual manipulation tools. The system performs the transformation work autonomously, reducing both the complexity of tools required and the time needed to achieve meaningful data representations
4Reliability
If semantically rich information is stored in a storage and retrieval mechanism, then the information maintains its meaning and relationships, but the information becomes difficult to comprehend and visualize
Solution Approach 1:
The patent transforms static stored information into dynamic, interactive data entities with assigned behaviors. Instead of presenting fixed, comprehensive data structures that are difficult to comprehend, the system creates dynamic atom data entities that can be independently explored and manipulated. This dynamic approach allows users to interact with semantically rich information in a progressive, user-controlled manner rather than being presented with overwhelming static representations
Data Source
AI summary
A method and apparatus for data exploration in a data processing system. An apparatus according to an embodiment includes: an analyzing component for analyzing a data model to identify a first and a second data entity and a relationship between the first and the second data entity; a generator component for creating a first and second atom data entity associated with the first and the second data entity; a generator component for creating a link data entity associated with the relationship between the first and second data entity; and an assignor component for assigning a behavior to one of the atom data entities or the link data entity, wherein the atom data entity exhibits a behavior associated with the link data entity and wherein the link data entity exhibits a behavior associated with one of the atom data entities.