The ontology-based approach to data storage systems technical diagnostics
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 in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/17/e3sconf_tpacee2019_08018.pdf |
| _version_ | 1818615701854748672 |
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| author | Mamoutova Olga V. Shirokova Svetlana V. Uspenskij Mikhail B. Loginova Aleksandra V. |
| author_facet | Mamoutova Olga V. Shirokova Svetlana V. Uspenskij Mikhail B. Loginova Aleksandra V. |
| author_sort | Mamoutova Olga V. |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T16:38:06Z |
| format | Article |
| id | doaj.art-18ff453a2e0c4b46b05318e451691fc7 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T16:38:06Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-18ff453a2e0c4b46b05318e451691fc72022-12-21T22:24:25ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01910801810.1051/e3sconf/20199108018e3sconf_tpacee2019_08018The ontology-based approach to data storage systems technical diagnosticsMamoutova Olga V.0Shirokova Svetlana V.1Uspenskij Mikhail B.2Loginova Aleksandra V.3Peter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityMonitoring 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/17/e3sconf_tpacee2019_08018.pdf |
| spellingShingle | Mamoutova Olga V. Shirokova Svetlana V. Uspenskij Mikhail B. Loginova Aleksandra V. The ontology-based approach to data storage systems technical diagnostics E3S Web of Conferences |
| title | The ontology-based approach to data storage systems technical diagnostics |
| title_full | The ontology-based approach to data storage systems technical diagnostics |
| title_fullStr | The ontology-based approach to data storage systems technical diagnostics |
| title_full_unstemmed | The ontology-based approach to data storage systems technical diagnostics |
| title_short | The ontology-based approach to data storage systems technical diagnostics |
| title_sort | ontology based approach to data storage systems technical diagnostics |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/17/e3sconf_tpacee2019_08018.pdf |
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