Collaborative Bot for Automatic Information Linking
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Solution Overview
Problem
Collaborative work environments face challenges in managing and integrating diverse information blocks, with unconnected information and lack of expert involvement, leading to inefficiencies and knowledge loss.
Innovation Solution
Collaborative bots that automatically monitor and cross-link relevant information and experts within a collaborative system, using text mining tools to identify topics and create links between information sources and knowledgeable individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If collaborative tools are provided for information exchange, then communication capability is improved, but information integration and connection between different information blocks deteriorates
Solution Approach 1:
The patent introduces an automated agent that serves as an intermediary between different information blocks and experts. This agent automatically detects relationships between information, identifies relevant experts, and establishes connections without requiring manual intervention from moderators or users, thereby resolving the integration problem while maintaining ease of communication
Solution Approach 2:
The system enables information blocks to self-connect by automatically detecting relationships and self-linking to relevant experts and information. This automated self-organization eliminates the need for complex manual management of information connections while preserving the simplicity of the collaborative tools
2Device complexity
If information is entered in different compartments without integration support, then system simplicity is maintained, but information connection and knowledge sharing deteriorates
Solution Approach 1:
The patent replaces the mechanical manual system of information connection with an automated intelligent system. The automated agent uses text mining and relationship detection to automatically connect information blocks and identify experts, substituting manual moderation and integration efforts with automated processes that preserve system simplicity while enabling comprehensive knowledge sharing
3Productivity
If moderators monitor discussion threads, then information monitoring is provided, but expert identification and knowledge utilization deteriorates
Solution Approach 1:
The automated agent enables discussion threads to self-connect to relevant experts by automatically analyzing content and identifying expert matches. This eliminates the need for moderators to manually identify experts while maintaining continuous monitoring capabilities, thereby resolving the contradiction between monitoring productivity and expert knowledge utilization
4Ease of operation
If experts are not actively invited to discussions, then system operation is simple, but knowledge contribution and problem-solving deteriorates
Solution Approach 1:
The system automatically identifies and connects experts to relevant discussions through the automated agent's relationship detection capabilities. Experts are proactively linked to discussions where their knowledge is relevant without requiring manual invitations, maintaining system simplicity while maximizing knowledge contribution and problem-solving effectiveness
Data Source
AI summary
A system and method for connecting information resources in a collaborative work environment. A system includes at least one information source providing collaboration data, and a repository framework including at least one source for storing the collaboration data. A collaborative bot service is connected with the repository framework, and includes one or more bots, or autonomous programs, configured to traverse the source via the repository framework, extract a topic from a portion of the collaboration data, and create a link between the portion of the collaboration data and an information resource related to the collaboration data based on the topic.