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A context-aware intelligent museum system can capture the information of the visitor and surroundings, recognize the visitor’s purpose, and then assist visiting in the museum. It is noted that not only the devices in the museum cannot be easily predicted, but the available applications may change over time. Therefore infinite entities and dynamic context knowledge are necessarily managed by a system with good scalability. This paper proposes a scalable context-aware intelligent museum system called iMuseum. The system is based on a new context model, 2∗3CM (2 Sets and 3 Layers Context Model) that integrates the advantages of ontology-based model and hierarchical model. The iMuseum system has two novel features: distributed acquisition of context knowledge on demand and centralized sharing of context knowledge with double-repository. With the two mechanisms, the system is able to support …