Expertise Services Platform for Knowledge Management
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Solution Overview
Problem
Large companies face inefficiencies in sharing and utilizing existing expertise due to inadequate knowledge management, leading to redundant efforts and delayed access to valuable information across different research and development projects.
Innovation Solution
A system and method for generating and managing knowledge profiles of entities, utilizing IMAP, SMTP, servlets, JDBC, JavaMail, SOAP, and .NET to automatically characterize individuals, groups, or abstract sources of information, enabling efficient expertise management and sharing within a business entity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a publishing model is used to capture knowledge, then knowledge can be documented and stored, but the process is time-consuming and delays the availability of the latest information
Solution Approach 1:
The system performs preliminary action by automatically capturing knowledge from multiple sources (emails, documents, collaboration tools) in real-time before formal documentation is needed. The profile generation system continuously monitors and extracts expertise information, making knowledge available immediately without waiting for manual document creation.
Solution Approach 2:
The system implements self-service by automatically generating and updating expertise profiles without requiring manual intervention. The knowledge capture system autonomously processes information from various sources, extracts relevant expertise data, and maintains profiles, eliminating the time-consuming manual documentation process.
2Loss of information
If complete context and details are captured in documents, then comprehensive knowledge is stored, but the documentation process becomes excessively time-consuming
Solution Approach 1:
The system segments the comprehensive knowledge capture task into multiple automated information streams from different sources (emails, documents, collaboration tools). Each source contributes specific contextual elements that are automatically extracted and integrated into the expertise profile, achieving completeness without manual synthesis.
Solution Approach 2:
The expertise profile system serves multiple functions simultaneously: it captures context from diverse sources, stores comprehensive knowledge, enables search and retrieval, and updates dynamically. This multi-functional approach replaces the single function of manual document creation, achieving completeness efficiently.
3Reliability
If sensitive information is shared only with specific people, then security is maintained, but the opportunity to gain value from the information is lost
Solution Approach 1:
The system applies local quality by assigning different access permissions to different portions of the expertise profile. Sensitive information within a profile can be restricted to specific users or groups, while non-sensitive portions remain broadly accessible, allowing selective sharing that maintains security while maximizing value utilization.
Solution Approach 2:
The automated profile system acts as an intermediary that manages information distribution. It selectively shares sensitive information with authorized users while routing general expertise information to broader audiences, thereby maintaining security constraints while enabling value extraction from both sensitive and non-sensitive information.
4Productivity
If manual document creation is used to share expertise, then control over information sharing is maintained, but the process is inefficient and causes redundant efforts
Solution Approach 1:
The system implements self-service by automatically capturing, processing, and sharing expertise information from multiple sources without requiring manual document creation. The profile generation system autonomously performs knowledge extraction, profile assembly, and distribution, dramatically improving efficiency and eliminating redundant manual efforts.
Solution Approach 2:
The system enables continuous knowledge capture and sharing by continuously monitoring information sources and automatically updating profiles in real-time. This continuous operation eliminates the discontinuous, batch-oriented nature of manual document creation, ensuring expertise is always current and immediately available without redundant review cycles.
Data Source
AI summary
A method and system for knowledge management are disclosed. A plurality of profiles of entities are identified wherein the profiles comprise a shared characteristic. The contents of the plurality of profiles are added to a generated aggregate profile.