Data Item Relinking via User-Defined Search Locations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Applications face challenges in managing and updating the locations of referenced files when they are moved or deleted, requiring users to manually locate and relink or replace them, which can be time-consuming and inefficient.
Innovation Solution
A system and method for relinking or updating data items by allowing users to designate a relink location where absent or outdated files can be found and updated, with the application server searching for and updating the locations of multiple data items within the data item library.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually locate and relink moved or deleted files, then the application can maintain references to data items, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system enables self-service by automatically detecting missing data items and performing relinking operations without requiring manual user intervention. The application monitors its own data item library, identifies absent files, and executes the relinking process autonomously based on stored location information and user-defined search parameters.
Solution Approach 2:
The system performs preliminary actions by pre-storing location information and search parameters for data items before they become missing. When files are moved or deleted, the system already has the necessary information prepared to quickly locate and relink them, eliminating the need for time-consuming manual searches.
2Ease of operation
If the application automatically manages data item locations, then user effort is reduced, but the system complexity increases
Solution Approach 1:
The system achieves universality by creating a multi-functional data item library that serves multiple purposes: storing data item information, tracking location changes, managing search parameters, and executing relinking operations. This single structure handles diverse tasks that would otherwise require separate systems, reducing overall complexity while maintaining ease of operation.
3Reliability
If multiple data items are relinked individually, then precise control is maintained, but productivity decreases
Solution Approach 1:
The system merges multiple relinking operations into a single batch process. By combining the detection, search, and relinking steps for multiple data items into one unified operation, the system maintains precise control over each individual link while achieving high overall productivity through parallel processing and consolidated execution.
Data Source
AI summary
In one example embodiment, a method is implemented to relink a data item. The method includes identifying that a data item, referenced by a referencing document, is absent from a data item location for the data item indicated by the referencing document. User preference data, indicating a designated relink location to search for absent data items, is accessed. The relink location is searched for the absent data items. Another example embodiment may include a method to relink a current data item to a replacement data item location by accessing user preference data and searching a relink location for a replacement data item in accordance with the relink location indicated by the user preference data.


