Abstract
This paper presents an approach and case study for multi-level robots self-organization in smart space. The presented approach benefits from integration of such technologies as multi-level self-organization and knowledge fusion. A Smart-M3 information sharing platform is used for creating smart spaces with ontology-driven information sharing based on Semantic Web. To provide semantic interoperability, the RDF ontologies for the robots participating in the scenario, have been built and ontology matching technique is used. The scenario implementation is based on Lego® Mindstorms EV3 set for robot construction, which at the moment is one of the most popular sets for education.
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Smirnov, A., Kashevnik, A., Mikhailov, S., Mironov, M., Baraniuc, O. (2015). Multi-level Robots Self-organization in Smart Space: Approach and Case Study. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2015 2015. Lecture Notes in Computer Science(), vol 9247. Springer, Cham. https://doi.org/10.1007/978-3-319-23126-6_7
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DOI: https://doi.org/10.1007/978-3-319-23126-6_7
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