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: email@example.com
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.