Digital Information Annotation System for Web Page Evaluation
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Solution Overview
Problem
Conventional techniques for gathering and analyzing digital information, such as online content, often require manual processing of tags and annotations, leading to difficulties in determining the relevance of web pages and evaluating the best options for consumers, especially as the number of bookmarked pages increases.
Innovation Solution
A method and system for annotating digital information using unique identifiers, allowing users to associate attributes and data with these identifiers, which can be stored and shared, facilitating efficient comparison and evaluation of digital content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual processing of tags and annotations is used, then users can annotate digital information, but the difficulty of evaluating and comparing web pages increases as the number of bookmarked pages increases
Solution Approach 1:
The patent replaces manual mechanical processing of annotations with automated computational processing. The system automatically parses, stores, and retrieves annotation data associated with URIs, eliminating the need for users to manually evaluate and compare bookmarked pages. This substitution of manual operations with automated systems directly resolves the contradiction by maintaining annotation capabilities while reducing processing complexity.
2Quantity of substance
If users bookmark multiple web pages for research, then they can gather information, but it becomes difficult to judge the relevancy of the web pages
Solution Approach 1:
The patent implements feedback mechanisms where annotation data is systematically collected, stored, and retrieved to provide users with structured information about bookmarked pages. The system returns organized annotation results that enable users to efficiently evaluate the relevancy of multiple bookmarked pages without manual inspection, thus maintaining quantity while improving measurement precision through automated information retrieval.
3Productivity
If conventional techniques are used to gather digital information, then information can be collected, but automated analysis and comparison of the information is difficult
Solution Approach 1:
The patent segments the information processing task into distinct components: annotation data collection, storage in structured format, and automated retrieval. By dividing the overall process into these manageable segments, the system enables both efficient information gathering and automated analysis, resolving the contradiction between productivity and extent of automation.
Data Source
AI summary
Methods and system for performing annotation of digital information are provided. One method includes searching for items of interest using a search engine. Once the URIs associated with the item of interest are identified, a plurality of attributes are provided that may be associated with each URI. A user may provide the values for the attributes or the system may suggest values for the attributes based on information associated with each URI. Once the attributes and values are assigned, the annotated URI along with the attributes and values is stored. Another method provides for sharing of the annotated information. A user may communicate annotated information to an external storage system for sharing with other users having access to the external storage system. Another method provides for automatic updates of the annotation entries by periodically fetching the digital information associated with each URI and updating the values associated with each attribute.