Data Item Storage with Rule Context Metadata
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional data classification systems fail to provide a comprehensive history or evaluation of metrics or rules, leading to loss of valuable information regarding changes in data items and classification rules, as tracking changes is expensive and time-consuming.
Innovation Solution
The system evaluates data items by comparing them with a set of rules, storing determined properties and contextual details about the rule's state at the time of use, and performing actions based on these details, enabling nuanced searches and optimization of rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional methods are used to track changes in classification rules, then some classification information can be maintained, but the process becomes expensive and time-consuming, leading to loss of valuable information
Solution Approach 1:
The system performs preliminary actions by automatically capturing and storing contextual details about classification rules at the moment they are applied to data items. This includes recording rule metadata such as creation date, modification date, and version information, thereby preserving historical information without requiring subsequent manual tracking or auditing processes.
Solution Approach 2:
The system creates copies of classification rule context along with data items during the storage process. By storing contextual details (rule metadata, timestamps, version information) as part of the data item record, the system maintains a comprehensive history of rule applications without requiring separate tracking systems, thus reducing time and resource expenditure.
2Loss of information
If comprehensive history of classification rules is maintained, then complete evaluation information is available, but the system complexity and resource consumption increase
Solution Approach 1:
The system merges the storage of data items with the storage of classification rule context. By combining these two functions into a single unified storage mechanism, the system avoids the need for separate complex tracking systems while still maintaining comprehensive historical information about both data items and the rules used to classify them.
Solution Approach 2:
The storage system is designed to serve multiple functions simultaneously: it stores data items, captures rule application context, records historical metadata, and enables future re-evaluation. This multi-functional approach eliminates the need for separate specialized systems for each function, thereby reducing overall system complexity while maintaining comprehensive information.
3Measurement precision
If data items are re-evaluated when rules change, then accurate current classification is achieved, but the process becomes more time-consuming
Solution Approach 1:
The system implements feedback mechanisms where stored contextual details about rule changes trigger automatic re-evaluation of data items. When classification rules are modified, the system uses the stored metadata and timestamps to identify affected data items and re-evaluates them using the updated rules, ensuring accuracy while minimizing unnecessary processing through targeted feedback-based triggers.
Data Source
AI summary
The disclosed computer-implemented method for evaluating and storing data items may include (i) receiving a data item to be evaluated and stored, (ii) evaluating the data item by comparing the data item with a set of rules used to determine properties of data items, (iii) storing, in connection with the data item, (a) at least one determined property of the data item and (b) contextual details about a state of at least one rule used to determine the property at a point in time at which the rule was used, and (iv) after the data item has been stored, performing an action on the data item based on the stored contextual details. Various other methods, systems, and computer-readable media are also disclosed.