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Data Warehouse Design for Security Applications Using Distributed Ontology-Based Knowledge Representation

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Intelligent Distributed Computing XIII (IDC 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 868))

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Abstract

The primary goal of this paper is to develop a distributed ontology-based knowledge representation approach useful for data warehouses design in the security applications area. The paper proposes a novel database design for registering security incidents in critical infrastructure on railways. We propose an approach based on the data warehouse architecture that consists of distributed smart database micro services patterns, which are represented by the distributed ontology. This representation is using novel distributed dynamic description logic for knowledge representation. We give the base of distributed dynamic description logic and forming the queries to the designed distributed knowledge bases.

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Acknowledgements

The reported study was funded by Russian Foundation for Basic Research according to the research projects 19-01-246-a, 19-07-00329-a, 18-01-00402a, 18-08-00549-a.

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Correspondence to Andrey V. Chernov .

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Butakova, M.A., Chernov, A.V., Savvas, I.K., Garani, G. (2020). Data Warehouse Design for Security Applications Using Distributed Ontology-Based Knowledge Representation. In: Kotenko, I., Badica, C., Desnitsky, V., El Baz, D., Ivanovic, M. (eds) Intelligent Distributed Computing XIII. IDC 2019. Studies in Computational Intelligence, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-32258-8_16

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