Dynamic Dataset Linking Using Keyword-Matched Anchor Elements
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Solution Overview
Problem
Conventional systems lack an efficient and quick way to connect related elements within large datasets stored in a networked system.
Innovation Solution
A system comprising a data visualization interface that allows users to select datasets, automatically presents associated datasets, enables data connections, and supports modification or deletion of existing connections, using keyword matching and weight assignment to prioritize dataset presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems are used to connect related elements within large datasets, then data connections can be established, but the process is inefficient and time-consuming
Solution Approach 1:
The system automatically presents a set of datasets associated with the first dataset without requiring manual search or configuration by users. The system scans the first dataset to select an anchor element and performs keyword matching to determine potentially linked datasets, enabling the system to serve itself in identifying connection opportunities.
Solution Approach 2:
The system performs preliminary keyword matching and dataset association analysis before the user needs to establish connections. By pre-identifying and presenting relevant datasets with potential connection points, the system prepares the connection establishment process in advance, reducing the time required when users actually need to make connections.
2Extent of automation
If manual methods are used to identify and connect datasets, then connections can be made, but the process lacks automation and requires significant user effort
Solution Approach 1:
The system automatically scans datasets, selects anchor elements, performs keyword matching, and presents connection opportunities without requiring users to manually search for or configure connection parameters. The automation handles the complex tasks of dataset association identification and connection point discovery.
Solution Approach 2:
The system introduces an intermediary automated process between the user's connection request and the actual data connection. This intermediary automatically performs dataset scanning, anchor element selection, keyword matching, and connection opportunity presentation, simplifying the user's interaction to just selecting from pre-presented options.
3Measurement precision
If comprehensive dataset scanning and keyword matching are performed to identify connections, then connection accuracy improves, but system complexity increases
Solution Approach 1:
The system segments the complex task of dataset connection identification into distinct components: scanning the first dataset to select an anchor element, performing keyword matching based on the anchor element, and determining potentially linked datasets. This segmentation makes the complex process more manageable and implementable through modular system components.
Data Source
AI summary
Embodiments of the present invention provide a system for dynamically enabling data connections between large datasets stored in a networked system. The system is configured for allowing users to select at least two datasets from one or more datasets associated with an entity, receiving a selection of a first dataset of the at least two datasets from the users, automatically presenting a set of datasets associated with the first dataset to the users, receiving a selection of a second dataset of the at least two datasets from the set of datasets presented to the users, receiving one or more data connections between at least a first element of the first dataset and at least a second element of the second dataset, and enabling the one or more data connections between at least the first element of the first dataset and at least the second element of the second dataset.