Document Similarity Tracking for Consistency
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Solution Overview
Problem
Existing methods for detecting similar documents fail to synchronize changes across multiple documents, leading to errors when one document is modified, affecting various types of documents beyond source codes.
Innovation Solution
An information processing apparatus that calculates similarity among documents, identifies documents with high similarity to a changed document, and notifies users associated with those documents to update them accordingly, ensuring consistency across similar documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If similarity detection is implemented among documents, then document consistency can be maintained, but system complexity increases due to calculation and notification mechanisms
Solution Approach 1:
The system segments the document management process into distinct functional modules: a calculation section for similarity computation, an identification section for change detection, and a notification section for user alerting. This modular segmentation allows each component to handle specific tasks independently, maintaining document consistency through coordinated operation while managing system complexity through functional decomposition.
2Reliability
If all similar documents are notified of changes, then consistency is maintained, but unnecessary notifications increase user burden
Solution Approach 1:
The notification mechanism applies local quality by differentiating notification behavior based on the specific similarity relationship between documents. The identification section evaluates each similar document individually against the changed document, and the notification section selectively notifies only those documents that genuinely require updates. This selective approach maintains document consistency while reducing unnecessary notifications and user burden.
3Adaptability or versatility
If manual updates are required for similar documents, then flexibility is maintained, but time consumption increases
Solution Approach 1:
The system implements feedback by automatically detecting changes in documents, calculating similarity with other documents, identifying affected similar documents, and notifying users of relevant changes. This automated feedback loop reduces time consumption by eliminating manual monitoring while maintaining adaptability, as users receive targeted notifications that allow them to decide whether manual updates are necessary based on the specific change context.
Data Source
AI summary
In one embodiment, an information processing apparatus includes a calculation section, an identification section, and a notification section. The calculation section is configured to calculate similarity among a plurality of documents. The identification section is configured to identify, in response to a change made to a first document, a second document having a similarity greater than or equal to a first criterion as compared to the first document before the change. The notification section is configured to notify a user of the identified second document that the first document has been changed, in response to the change to the first document.