In this paper we propose an approach to create cyber-physical museum exhibits based on the methods and means of scientific visualization, Internet of things, additive technologies and ontology engineering. Cyber-physical exhibit consists of tightly interconnected virtual and real parts. Scientific visualization is used as methodological and technological basis for presenting the virtual part, which can contain relevant digital content and 3D-reconstructions. Internet of things is a core technology to create tangible interfaces for the corresponding visualization software. Additive technologies allow creating virtual reconstructions and precise copies of museum exhibits. Ontology engineering provides adaptive mechanisms for seamless integration of new cyber-physical exhibits into the existing digital infrastructure of museums. The proposed approach is used in practice to create cyber-physical exhibits in State Darwin Museum (Moscow) and Museum of Permian Antiquities (Perm).
The paper is devoted to using Internet of Things technologies for hardware human-machine interfaces development. Thanks to these technologies, it may be possible to improve the capabilities of visual analytics systems with multiple modalities: movements, audio, etc. It can speed up semantic data filtering and interpretation, increasing the efficiency of analytics. We suggest using ontology engineering methods and tools to automate both the programming of custom hardware human-machine interfaces and connecting them to the third-party software. The proposed concept is tested by solving the real-world tasks of discovering the relationships between the psychological characteristics of the native speakers and their verbal behavior.
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