Abstract
The paper considers the architecture of the technological platform designed for construction of the knowledge base (KB) by integrating a set of logical rules with fuzzy ontologies. The KB represents the storage of knowledge and contexts of different problem areas (PrA). The PrA ontology context is a specific state of the KB content that an expert can choose from a set of available states. The state is a result of either versioning or constructing the KB content from different points of views. Also, the paper describes the application of the KB in the inference of expert recommendations on solving the problem situations that occurred in the process of local area network functioning.
The study was supported by the Ministry of Science and Higher Education of the Russian Federation in framework of projects 2.4760.2017/8.9 and 2.1182.2017/4.6.
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Yarushkina, N., Filippov, A., Moshkin, V. (2019). Development of a Technological Platform for Knowledge Discovery. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11619. Springer, Cham. https://doi.org/10.1007/978-3-030-24289-3_39
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