Integrating Digital Twin Technology into Web Data Mining and Knowledge Management Systems
Abstract Digital twin technology is revolutionizing knowledge management and information retrieval by enabling real-time, data-driven decision-making. This paper explores the integration of digital twins into web data mining techniques and expertise-locator knowledge management systems. By leveraging intelligent workflow management and indexing systems, organizations can enhance knowledge discovery, improve expertise location, and automate the maintenance of expert profiles. This study presents a novel framework combining digital twins with web data mining and intelligent knowledge workflows, demonstrating its application in enterprise knowledge management. 1. Introduction As organizations increasingly rely on digital knowledge management systems, ensuring the accuracy, accessibility, and real-time updating of expertise databases is crucial. Traditional knowledge repositories suffer from biases, outdated information, and inefficiencies in maintaining expert profiles. Digital twin techn...