Automated Resource Tagging via Criterion Matching
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Solution Overview
Problem
Current tagging methods are user-intensive, static, and prone to errors due to manual effort, leading to inefficiencies and inconsistencies, particularly in the Web environment where resources are often not initially tagged and tags may not change even if the resource evolves.
Innovation Solution
A system and method for tagging resources by associating user-identified tags with tagging criteria based on data other than the tag, determining if the criteria are met for multiple resources, and automatically applying the tag, using a tag director, criterion match, and tagging components to streamline the process and reduce manual errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tagging is used, then users can add tags to resources, but it is user intensive and leads to inefficiencies and errors
Solution Approach 1:
The system performs preliminary actions by automatically tagging resources based on predefined criteria before user intervention is needed. The tag director component evaluates resources against stored criteria and applies tags automatically, eliminating the need for manual tagging effort while maintaining consistent tagging standards across all resources.
Solution Approach 2:
The tagging system operates autonomously without requiring user intervention. The criterion match component self-evaluates resources against stored criteria, and the tag director automatically applies appropriate tags. This self-service mechanism eliminates manual tagging effort while maintaining consistent tagging standards across all resources.
2Reliability
If manual tagging is used, then tags can be added to resources, but it is prone to errors and inconsistencies such as alternate spellings and misspellings
Solution Approach 1:
The tagging system operates autonomously without requiring user intervention. The criterion match component self-evaluates resources against stored criteria, and the tag director automatically applies appropriate tags. This self-service mechanism eliminates manual tagging effort while maintaining consistent tagging standards across all resources.
Solution Approach 2:
The system uses predefined criteria as feedback mechanisms to guide automatic tagging decisions. The criterion match component continuously evaluates resources against these criteria, ensuring that tags are applied consistently and accurately according to established standards, thereby eliminating errors from manual tagging.
3Productivity
If automatic tagging based on criteria is implemented, then tagging efficiency is enhanced and consistency is improved, but the system complexity increases
Solution Approach 1:
The tagging system is segmented into distinct functional components: the criterion match component for evaluating resources, the tag director component for managing tags and criteria, and the resource database for storing information. This segmentation allows each component to perform its specific function efficiently while maintaining overall system manageability and reducing complexity through modular design.
Data Source
AI summary
Methods and systems are described for tagging a resource. In an aspect, a matched tag is created by associating a user identified tag with a tagging criterion that is based on data other than the tag. A determination is made that the tagging criterion is met for each resource in a plurality of resources. Each resource in the plurality is tagged with the tag, in response to the determining. Presentation information is sent to present, via an output device, a tag user interface element representing the tag, that represents the tag, as a target for a user input to initiate an operation that identifies a resource in the plurality.