Semantic Knowledge Factory: A New Way of Cognition Improvement for the Knowledge Management Process
نویسندگان
چکیده
The goal of the novel tool HERMA (enHanced E-learning Repository MAnager) is to improve the efficiency of the knowledge transfer process in web-based learning environments. The mechanism enables users to improve adaptive courseware enlargement and it supports the dynamic retrieval of the content, its presentation and navigation. Based on self-defined semantic parameters, which describe course and user specific factors, it generates dynamically context dependent, user relevant and always automatically updated background knowledge that relies outside the static repository by applying a smart search framework. HERMA places this dynamically generated background knowledge at the disposal of learners across distinct viewing modes while navigating through the courseware. In addition, HERMA may improve the process of course generation and maintenance. In our first application, HERMA is integrated in the Hyperwave eLearning Suite and interacts with the smart search framework xFIND.
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