Главная | Публикации | Mamoutova O.V., Shirokova S.V., Uspenskij M.B., Loginova A.V.   The ontology-based approach to data storage systems technical diagnostics

Mamoutova O.V., Shirokova S.V., Uspenskij M.B., Loginova A.V.   The ontology-based approach to data storage systems technical diagnostics

Авторы

Mamoutova O.V., Shirokova S.V., Uspenskij M.B., Loginova A.V.  
E3S Web of Conferences. – EDP Sciences, 2019. – Т. 91. – С. 08018.

Краткое описание

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.

Mamoutova O.V., Shirokova S.V., Uspenskij M.B., Loginova A.V. The ontology-based approach to data storage systems technical diagnostics //E3S Web of Conferences. – EDP Sciences, 2019. – Т. 91. – С. 08018.