Artificial Intelligence for Knowledge Management
Description
The 8 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
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Content
Using a Semantic-based Support System for Merging Knowledge from Process Participants.- The Concept of Crowdsourcing in Knowledge Management in Smart Cities.- The Impact of Big Data in Smart City Concepts.- Artificial Intelligence Technologies in Education. Benefits, Strategies and Implementation in Non-Public Universities.- E-learning as an extending tool of Knowledge Management.- Internet of Things as a Significant Factor of Innovations for Intelligent Organizations.- Semantics Visualization as a User Interface in Business Information Searching.- Machine Learning Solutions in Retail E-commerce to increase marketing efficiency.
