Document Annotation Interface for Specific Content Retrieval
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Solution Overview
Problem
Current techniques for computer-based research are inefficient as they allow users to bookmark or return to entire documents, not specific parts, and require labor-intensive steps for bookmarking, making it difficult to revisit specific areas of interest within files, documents, and web pages.
Innovation Solution
Annotation techniques that allow users to identify and link specific portions of computer-based materials, such as text or images, for easy retrieval by attaching indicia, which can be automatically or actively created based on user interaction, enabling rapid return to annotated sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users create hyperlinks or shortcuts to favorite materials, then users can easily return to those materials, but users cannot return to specific parts of the materials and must review entire documents
Solution Approach 1:
The patent divides a document into multiple selectable portions (words, lines, paragraphs, sections) rather than treating the entire document as a single unit. Users can annotate specific segments of interest, enabling direct navigation to particular parts without reviewing entire documents.
Solution Approach 2:
The patent adds a new dimension of granularity to bookmarking by enabling annotations at multiple levels of detail (from individual words to entire sections). This dimensional change allows users to pinpoint exact locations within documents, transforming the coarse-grain document-level bookmarking into fine-grain portion-level bookmarking.
2Measurement precision
If users perform keyword or boolean searches to locate specific parts, then users can search for matching words or phrases, but numerous matches are returned requiring time-consuming review
Solution Approach 1:
The patent performs preliminary selection of specific portions of interest before the search operation. By pre-identifying and annotating relevant sections, the system eliminates the need to review numerous search matches, as only the annotated portions are presented to the user.
Solution Approach 2:
The patent extracts only the relevant portions of a document that have been annotated by the user, separating them from the rest of the content. This extraction approach presents only the most relevant matches rather than all possible matches, significantly reducing review time.
3Ease of operation
If users manually bookmark specific portions of documents, then users can return to those portions, but the process requires labor-intensive steps
Solution Approach 1:
The patent enables users to easily annotate portions by simply selecting text or content and applying annotation markers. The system automatically manages the annotation data structure and navigation functionality, reducing the complexity of the bookmarking process while maintaining the ability to return to specific portions.
Solution Approach 2:
The patent creates a universal annotation system that works across different document types, formats, and applications. A single annotation mechanism serves multiple functions including bookmarking, highlighting, and creating hyperlinks, simplifying the user interface and reducing process complexity.
Data Source
AI summary
Annotation techniques are provided. In one aspect, a method for processing a computer-based material is provided. The method comprises the following steps. The computer-based material is presented. One or more portions of the computer-based material are determined to be of interest to a user. The one or more portions are annotated to permit return to the one or more portions at a later time. In another aspect, a user interface is provided. The user interface comprises a computer-based material; a viewing focal area encompassing a portion of the computer-based material; and one or more indicia associated with and annotating the portion of the computer-based material.