Mediation Computing Device for Semantic Tagging
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Solution Overview
Problem
Existing computer-mediated communications lack effective semantic tagging, making it difficult for ancillary systems to interpret the context of messages, as creators primarily focus on the primary audience and do not consistently use semantic labels, which hinders subsequent analysis by secondary audiences.
Innovation Solution
A computing device and method that facilitate the inclusion of semantic tags by suggesting candidate tags based on the semantic context of user input during message composition, allowing users to validate and correct these tags, thereby enhancing contextual understanding for both primary and secondary audiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If semantic tags are manually added by communication creators, then semantic interpretation for secondary audience is improved, but user workload and complexity of message creation increases
Solution Approach 1:
The system performs preliminary semantic analysis and generates candidate tags before the user finalizes the message. The mediation computing device analyzes the message content, determines semantic context, and prepares suggested tags in advance, so the user only needs to review and confirm rather than create tags from scratch.
Solution Approach 2:
The system enables self-service tagging by automatically generating candidate tags based on the message content and semantic context. The mediation computing device autonomously analyzes the communication, identifies key semantic elements, and proposes appropriate tags without requiring manual intervention for tag generation, reducing the user's workload.
2Reliability
If semantic tags are consistently applied, then ancillary system analysis is improved, but user time for message composition increases
Solution Approach 1:
The system provides feedback to the user by presenting candidate tags for review and confirmation. The mediation computing device analyzes the message, generates suggested tags, and presents them to the user who can accept or modify them. This feedback loop ensures consistent tagging while allowing user oversight to maintain quality.
Solution Approach 2:
The system performs partial tagging by generating only the most relevant candidate tags rather than requiring comprehensive manual tagging of all possible semantic elements. The mediation computing device identifies and presents a limited set of high-value tags, reducing the time burden on users while maintaining tagging consistency for the most important semantic aspects.
3Productivity
If automated tag suggestion is provided, then tagging efficiency is improved, but system complexity increases
Solution Approach 1:
The mediation computing device serves as an intermediary between the user and the ancillary systems. It handles the complex semantic analysis, context determination, and tag generation tasks, presenting simplified candidate tags to the user. This intermediary approach automates the complex processing while keeping the user interface simple.
Data Source
AI summary
A computing device, computer system and associated method are provided to mediate a conversation in a manner that facilitates the inclusion of semantic tags within the conversation. In the context of a method, user input may be received relating to maintenance of a system. The method also determines, with processing circuitry, a candidate tag based upon semantic context of the user input. Additionally, the method provides an indication of the candidate tag to the user and receives a response from the user regarding validity of the candidate tag with respect to the semantic context of the user input. The method may also store the maintenance report including the user input and an associated tag. A corresponding mediation computing device and an associated computer system are also provided.