QueKnow

QueKnow is a conceptual framework and tool designed to enhance knowledge management and retrieval within organizations. It aims to bridge the gap between explicit documented knowledge and tacit, individual expertise. The core principle behind QueKnow is to facilitate the creation of a dynamic, interconnected knowledge graph that not only stores information but also maps its relationships and sources.

The system typically involves a combination of natural language processing, semantic analysis, and user interaction. Users can pose questions in natural language, and QueKnow attempts to find the most relevant answers by querying its knowledge base. This knowledge base is populated through various means, including document ingestion, direct user input, and automated extraction from communications like emails and chat logs, with appropriate privacy controls.

A key feature of QueKnow is its ability to identify subject matter experts. By analyzing patterns of knowledge contribution, question answering, and content creation, the system can suggest individuals who possess specific knowledge or experience. This helps in situations where explicit documentation is lacking or outdated, allowing individuals to connect with the right people for insights.

The goal of QueKnow is to reduce the time spent searching for information, prevent knowledge loss due to employee turnover, and foster a more collaborative and informed work environment. It is not a single software product but rather a design philosophy that can be implemented through various technological solutions.