Development of a technology for collecting and analyzing data for monitoring based on an ontological approach

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Development of a technology for collecting and analyzing data for monitoring based on an ontological approach. / Molorodov, Yuri I.; Kasatkin, Oleg V.

In: CEUR Workshop Proceedings, Vol. 3006, 2021, p. 212-221.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{b06a4de8ee6043b285b1fdcee2f7f6ee,

title = "Development of a technology for collecting and analyzing data for monitoring based on an ontological approach",

abstract = "One of the ways to build information models is ontological modeling. The use of ontologies greatly facilitates the exchange of data between embedded models and utilities for the digital representation of an object or a real-world system, sometimes called “digital twin” (DT). It is also important to establish a correspondence between the DT, people and external programs. Based on the dictionary of the main terms, classes, objects of the subject area and the relations between them, we have built an ontology of the hydroelectric dam DT.",

keywords = "Data collection and analysis system, Digital twin ontology of hydroelectric dams, Dynamic characteristics, Monitoring of the technical condition of hydroelectric dams, Processing of seismometric monitoring data",

author = "Molorodov, {Yuri I.} and Kasatkin, {Oleg V.}",

note = "Publisher Copyright: {\textcopyright} 2021 Copyright for this paper by its authors.; 2021 All-Russian Conference with International Participation {"}Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes{"}, SDM 2021 ; Conference date: 24-08-2021 Through 27-08-2021",

year = "2021",

language = "English",

volume = "3006",

pages = "212--221",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

RIS

TY - JOUR

T1 - Development of a technology for collecting and analyzing data for monitoring based on an ontological approach

AU - Molorodov, Yuri I.

AU - Kasatkin, Oleg V.

PY - 2021

Y1 - 2021

N2 - One of the ways to build information models is ontological modeling. The use of ontologies greatly facilitates the exchange of data between embedded models and utilities for the digital representation of an object or a real-world system, sometimes called “digital twin” (DT). It is also important to establish a correspondence between the DT, people and external programs. Based on the dictionary of the main terms, classes, objects of the subject area and the relations between them, we have built an ontology of the hydroelectric dam DT.

AB - One of the ways to build information models is ontological modeling. The use of ontologies greatly facilitates the exchange of data between embedded models and utilities for the digital representation of an object or a real-world system, sometimes called “digital twin” (DT). It is also important to establish a correspondence between the DT, people and external programs. Based on the dictionary of the main terms, classes, objects of the subject area and the relations between them, we have built an ontology of the hydroelectric dam DT.

KW - Data collection and analysis system

KW - Digital twin ontology of hydroelectric dams

KW - Dynamic characteristics

KW - Monitoring of the technical condition of hydroelectric dams

KW - Processing of seismometric monitoring data

UR - http://www.scopus.com/inward/record.url?scp=85120959873&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85120959873

VL - 3006

SP - 212

EP - 221

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 2021 All-Russian Conference with International Participation "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes", SDM 2021

Y2 - 24 August 2021 through 27 August 2021

ER -

ID: 34951585