Electronic Document Management via Slide Matching and Grouping
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Solution Overview
Problem
Users face difficulties in managing and locating electronic documents, particularly in computing environments where documents are scattered across multiple storage locations and systems, leading to issues with duplicates and disorganized content, which existing solutions inadequately address through basic keyword searching.
Innovation Solution
A computer-implemented method for editing and managing electronic slide decks by reusing content, involving slide matching and grouping, where the system identifies candidate slides for insertion based on positional relationships, filters out duplicates, and autonomously groups slides with related content, allowing for efficient document organization and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search for and organize electronic documents across multiple storage locations, then document retrieval accuracy improves, but time consumption and operational effort increase significantly
Solution Approach 1:
The system automatically performs document organization, deduplication, and grouping tasks without requiring manual user intervention. The computer system self-manages the electronic documents by identifying duplicates, grouping related documents, and maintaining organized storage structures, thereby resolving the contradiction between retrieval accuracy and time consumption.
Solution Approach 2:
The system performs preliminary organization, deduplication, and grouping of documents before users need to retrieve them. By pre-processing and pre-organizing documents across storage locations, the system ensures that when users do search, the documents are already optimized for retrieval, eliminating the need for manual searching and sorting at retrieval time.
2Stability of the object's composition
If users manually organize and track electronic documents across multiple storage locations, then document organization quality improves, but operational complexity increases
Solution Approach 1:
The system automatically maintains document organization quality through self-service mechanisms. It continuously monitors storage locations, identifies duplicates, groups related documents, and maintains organized structures without requiring users to perform complex manual organization tasks, thereby improving organization quality while reducing operational complexity.
Solution Approach 2:
The system segments the complex task of document management into automated sub-tasks: duplicate detection, grouping by relationship, storage location tracking, and organization maintenance. Each segment is handled automatically by the computer system, reducing the operational complexity users would otherwise face while maintaining high organization quality.
3Device complexity
If basic keyword searching is used to locate documents, then system simplicity is maintained, but search effectiveness and completeness deteriorate
Solution Approach 1:
The search system is segmented into multiple components: keyword matching, duplicate detection, relationship-based grouping, and automated retrieval. This segmentation allows the system to maintain simplicity in the user interface while incorporating advanced search capabilities that improve effectiveness and completeness without significantly increasing perceived complexity.
Solution Approach 2:
The computer system provides multi-functional document management capabilities including searching, deduplication, grouping, and organization maintenance through a unified interface. This universality allows the system to perform multiple functions that improve search effectiveness while maintaining a simple, consistent user experience, avoiding the need for separate complex tools.
Data Source
AI summary
This disclosure relates to computer-implemented management of first and second electronic documents, each of containing a sequence of content components. A user interface displays a first sequence of display elements to represent the first electronic document, and a second sequence of display elements to represent the second electronic document. Each of the display elements in each of the displayed sequences represents an individual content component or group of content components of the electronic document represented by that sequence. The first and second sequences are displayed alongside each other, with their respective display elements in an initial alignment, to allow a side-by-side comparison of the electronic documents. The user can automatically realign the sequences to a selected content component.