Callback Notification Aggregation With Inference-Based Data Updates
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Solution Overview
Problem
There is currently no easy, convenient, and powerful way to combine and process callback notifications in aggregate, particularly in software development and web application development, leading to inefficiencies in updating isolated collections based on received data.
Innovation Solution
A method and system for efficiently updating an isolated collection using callback notifications, involving the extraction of resources from notifications, application of inference rules to generate inferred relationships, and storage in an isolated collection, with notification rules triggering callbacks to recipients based on defined states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If callback notifications are processed individually without aggregation, then processing simplicity is maintained, but data management efficiency deteriorates
Solution Approach 1:
The patent merges multiple callback notifications into an isolated collection data structure, allowing aggregate processing of notifications rather than handling them individually. This combining approach improves data management efficiency by enabling batch operations and unified state management across multiple notifications.
Solution Approach 2:
The isolated collection serves as an intermediary data structure between incoming callback notifications and the application logic. This mediator layer abstracts the complexity of processing multiple notifications, providing a standardized interface for data ingestion while simplifying the overall processing architecture.
2Productivity
If inference rules are applied to generate relationships, then data processing power is enhanced, but processing time increases
Solution Approach 1:
The patent pre-defines inference rules and relationship schemas within the isolated collection before notifications arrive. This preliminary configuration allows the system to quickly apply predetermined logic to incoming data without performing complex rule generation during notification processing, thus enhancing processing capability while minimizing time loss.
3Adaptability or versatility
If notification rules trigger callbacks to multiple recipients, then communication completeness is improved, but system complexity increases
Solution Approach 1:
The isolated collection and notification rules implement a universal mechanism that handles multiple notification scenarios through a single standardized framework. This multi-functional approach enables the system to distribute notifications to various recipients with different subscription criteria using the same underlying infrastructure, improving versatility without proportionally increasing complexity.
Data Source
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AI summary
Examples of the present disclosure describe systems and methods of data ingress and egress using callback notifications. In an example, a callback notification may be received. The notification may comprise one or more resources, which may be extracted. The extracted resources may be associated with resource identifiers. One or more inference rules from an inference ruleset may be applied to the extracted resources to generate any related inferred relationships. The resource identifiers and inferred relationships may be stored in an isolated collection. The content or structure of the isolated collection may satisfy a notification rule within a notification ruleset. The notification rule may be associated with a recipient. As a result of the determination, the recipient may receive a callback notification. In some examples, the callback notification may comprise a change notification or one or more resource identifiers, associated resources, or relationships from the isolated collection.