Network Model Integration Device for Pathway Expansion
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Solution Overview
Problem
Conventional pathway analysis systems fail to present candidates for interactions retrieved from various information sources to users and do not display the information sources used for integration, making it difficult for users to identify and expand their network models effectively.
Innovation Solution
A network model integration device and system that includes an input unit, display unit, storage unit, and control unit, which retrieves and displays edges linked to nodes in a designated network model, allowing users to select and integrate these edges into the model, along with associated nodes, and stores the integrated network model with a unique ID for association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional pathway analysis systems retrieve and present candidates for interactions from various information sources, then the network model can be expanded with more interactions, but the system complexity increases and users cannot identify the information sources used for integration
Solution Approach 1:
The system segments the integration process by separating retrieved interaction candidates from their source information. The retrieval unit fetches edges (interactions) while the display unit presents them with associated source information (literature, databases). This segmentation allows the network model to be expanded without overwhelming complexity, as sources are organized and presented systematically rather than as a monolithic data structure.
Solution Approach 2:
The display unit acts as an intermediary between the retrieval unit and the user. It presents retrieved edges along with their source information in an organized manner, mediating the complexity of the retrieval process. This intermediary layer allows users to access expanded network models while maintaining clarity about information sources, reducing the perceived system complexity.
2Quantity of substance
If conventional systems integrate retrieved edges into the network model, then the network model becomes more comprehensive, but users cannot determine the reliability of information sources
Solution Approach 1:
The display unit applies local quality by presenting source information specifically with each retrieved edge. Instead of treating all interactions uniformly, the system associates source details (literature references, database names) with each individual edge, allowing users to evaluate the reliability of each interaction based on its specific source. This localized presentation maintains comprehensive network expansion while enabling reliability assessment.
3Loss of information
If the system displays retrieval results with network model ID, then users can identify information sources, but the display complexity increases
Solution Approach 1:
The display unit merges the presentation of retrieved edges with their associated source information and network model ID into a unified display structure. This combining approach allows users to identify information sources and understand network model context simultaneously without requiring separate display elements for each piece of information, thereby reducing overall display complexity while preventing information loss.
Data Source
AI summary
The present invention involves retrieving edges that do not constitute a designated network model which is a network model designated by a user and are linked to nodes that constitute the designated network model, displaying retrieval results that include the retrieved edges and network model IDs corresponding to the edges in a selectable manner, and generating an integrated network model in which, when the retrieval results are selected by the user, the edges that are included in the selected retrieval results and the nodes that do not constitute the designated network model and are linked to the edges, are integrated into the designated network model.