Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102891
Title: The development of a heterogeneous MP data model based on the ontological approach
Authors: Porshnev, S.
Borodin, A.
Ponomareva, O.
Mirvoda, S.
Chernova, O.
Issue Date: 2021
Publisher: MDPI AG
Citation: The development of a heterogeneous MP data model based on the ontological approach / S. Porshnev, A. Borodin, O. Ponomareva, et al. — DOI 10.3390/sym13050813 // Symmetry. — 2021. — Vol. 13. — Iss. 5. — 813.
Abstract: The article discusses the approaches providing symmetric access of all industrial production services to the data of business processes of the enterprise by building a single warehouse of heterogeneous data of a metallurgical production. The warehouse is a part of an automated statistic quality control system for the products of a metallurgical enterprise. The article describes an ontological storage model of data coming from various sources of information in the production process. The concept of “a unit of production of metallurgical production” is introduced that is the connecting component of the entire production life cycle of a metallurgical production. The authors propose an ontological model of the production process, in terms of information flows which are formed in an enterprise at each stage of production. Based on the constructed ontological model, the structure of recording an array of information in the heterogeneous data warehouse is justified and formed. Heterogeneous data warehouse forms a single information space of the enterprise, which serves as the basis for analytical analysis throughout the production and decision—making process. For example, timely response to the deviation reasons from the given physical and chemical properties of the finished product. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: DATA HETEROGENEOUS WAREHOUSE
HETEROGENEOUS DATA
INTEGRATION METHODS
UNIT OF METALLURGICAL PRODUCTION
URI: http://hdl.handle.net/10995/102891
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85106618921
PURE ID: 22093406
5ceabaab-9e5f-41b6-9c1a-ab92637ce074
ISSN: 20738994
DOI: 10.3390/sym13050813
metadata.dc.description.sponsorship: The research was funded by the Russian Foundation for Basic Research No. 19-37-90049\19 of 08/27/2019.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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