Document Analysis System with Layered Markup and Originality Checking
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Solution Overview
Problem
Current online educational systems lack effective features for peer review, originality analysis, and contextual markup of formatted electronic documents, which are essential for replacing or supplementing in-classroom materials.
Innovation Solution
The system utilizes layered peer review, originality analysis, and contextual markup modules that convert unformatted documents into image files, allowing users to add contextual markups, generate originality reports, and display highlights, while storing relevant information in a database, with glyph-aware highlighting that scales with zooming and spans multiple lines or pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unformatted documents are converted into image files for markup, then contextual markups can be added to formatted documents, but the document processing complexity increases
Solution Approach 1:
The system segments the document processing into distinct modules: conversion module (unformatted to formatted), markup module (adding contextual annotations), and analysis module (originality checking). Each module handles a specific function, making the overall complex process manageable and modular.
Solution Approach 2:
The patent introduces an intermediary layered structure between the original document and user interactions. Contextual markups are added as separate layers that do not modify the original document, allowing multiple annotation layers without increasing document complexity.
2Adaptability or versatility
If multiple features (peer review, originality analysis, contextual markup) are integrated into one system, then comprehensive document analysis is achieved, but the system complexity increases
Solution Approach 1:
The system is designed as a universal platform that performs multiple functions: peer review, originality analysis, contextual markup, and document conversion. A single integrated system handles diverse document analysis tasks through modular components that can be independently configured and activated.
Solution Approach 2:
The system divides complex document analysis into separate functional modules (conversion, markup, originality checking, peer review) that operate independently but coordinate through standardized interfaces, reducing overall system complexity while maintaining versatility.
3Measurement precision
If glyph-aware highlighting is implemented with pixel-accurate coordinates, then precise text matching is achieved, but computational requirements increase
Solution Approach 1:
The system creates a digital copy of the document with embedded glyph coordinate information that maps to the visual display. This copy contains pre-calculated pixel-accurate positions of text elements, allowing precise highlighting without repeatedly performing complex image analysis during user interactions.
Solution Approach 2:
Glyph coordinate mappings and text position data are pre-calculated and stored during document conversion, before user viewing or markup activities. This preliminary processing eliminates the need for real-time computational analysis during highlighting operations, reducing energy consumption during active use.
Data Source
AI summary
The present invention relates to systems and methods for the peer review, originality analysis, and contextual mark-up of formatted electronic documents. In particular, the present invention provides systems and methods that utilize layered peer review, originality analysis and contextual markup modules in one view. These systems and methods have many applications, including use for online editing and education.