Description Logic Text Analysis for Low-Distraction Annotations
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Solution Overview
Problem
Existing web browsing technologies lack efficient methods for users to annotate web pages, documents, pictures, and videos, leading to inefficiencies in retrieving and sharing information, and there is a need for better tools to manage and organize annotations while ensuring minimal disruption to document viewing context and user privacy.
Innovation Solution
An annotation-enabled web browser that allows users to add annotations which can be viewed and managed separately from the main document context, with features for organizing, filtering, and sharing annotations, and includes a mechanism for non-intrusive advertisement presentation and privacy settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users add annotations to web pages and documents, then information retrieval efficiency is improved, but document viewing context becomes more complex and distracting
Solution Approach 1:
The patent divides the annotation system into separate components: annotations are stored and managed independently from the original document content, allowing users to view annotations separately or in conjunction with documents without altering the core document structure. This segmentation reduces viewing context complexity while maintaining retrieval efficiency.
Solution Approach 2:
Annotations are extracted from the main document viewing experience and placed in a separate annotation viewing context area. Users can access annotations without being distracted by the full document, and annotations can be viewed independently. This extraction resolves the contradiction by separating the annotation function from the document display function.
2Ease of operation
If annotations are displayed within the document viewing area, then annotation accessibility is improved, but user distraction increases
Solution Approach 1:
The system provides dynamic annotation display options where annotations can be shown in different contexts based on user needs: within the document viewing area for easy accessibility, or in a separate annotation viewing context area to reduce distraction. The interface adapts to user preferences and task requirements, resolving the contradiction between accessibility and distraction.
Solution Approach 2:
A separate annotation viewing context area acts as an intermediary between the user and the annotations. This mediator provides access to all annotations without requiring users to interact with the original document, reducing distraction while maintaining accessibility. The intermediary layer filters and presents annotation information in a controlled manner.
3Productivity
If advertisement content is displayed to users, then revenue generation is improved, but user experience deteriorates
Solution Approach 1:
Advertisements are extracted from the main document and annotation viewing areas and placed in a separate advertisement viewing context area. This separation ensures that ads do not interfere with the primary user tasks of viewing documents and annotations, minimizing user experience degradation while still enabling revenue generation through targeted ad delivery.
Solution Approach 2:
The system uses user-generated annotations and viewing patterns to automatically generate targeted advertisements that are relevant to user interests. This self-service approach ensures ads are personalized and potentially useful to users, improving the overall user experience while maintaining revenue generation capabilities.
Data Source
AI summary
The present disclosure relates to methods, non-transitory computer-readable media (CRMs), and systems for textual analysis and generation with description logics. Textual fragments can originate from web documents, annotations, transcribed sound recordings, videos, or picture captioning. In addition, advertisers can provide various textual fragments, such as those emanating from their own documents or context they have written. Translating and comparing both forms of text allows for textual analysis that reduces errors and facilitates search through the use of description logics. This technique can be applied to advertising and other domains.