E3S Web Conf.
Volume 91, 2019Topical Problems of Architecture, Civil Engineering and Environmental Economics (TPACEE 2018)
|Number of page(s)||8|
|Section||Environmental Management and Environmental Economics|
|Published online||02 April 2019|
The ontology-based approach to data storage systems technical diagnostics
Peter the Great St. Petersburg Polytechnic University, 195251, Polytechnicheskaya Street, 29, St. Petersburg, Russia
* Corresponding author: firstname.lastname@example.org
Monitoring and diagnosing the state of data storage systems, as well as assessing reliability and troubleshooting, require a formalized health model. A comparative analysis of existing knowledge representation methods has shown that an ontological approach is well suited for this task. This paper introduces a machine-represented data storage reliability ontology with an expert health model as baseline data. Classes of the ontology include the key terms of the reliability domain. Stated requirements for data interpretation tools allow further processing of the ontology-based knowledge base. Described ontology-based diagnostic systems have shown their applicability in the case of data storage systems in the construction industry.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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