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Construction of Intelligent Maintenance Ontology Model for Shield Machine
Author(s) -
HouMan Yang,
Zhang Yu,
Hao Qin,
Ling Xin,
Xiaoxu Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1653/1/012047
Subject(s) - ontology , computer science , consistency (knowledge bases) , ontology based data integration , suggested upper merged ontology , process ontology , upper ontology , field (mathematics) , construct (python library) , software engineering , information retrieval , artificial intelligence , semantic web , programming language , philosophy , mathematics , epistemology , pure mathematics
In order to transform the shield machine maintenance engineers’ experience and related non-structural data into digital, structured and standardized maintenance knowledge, it is necessary to construct a shield machine intelligent maintenance ontology model. This paper has proposed a systematic method for the construction of this ontology model, which mainly includes seven steps. A professional ontology modeling tool protégé is used to complete the construction of the ontology model, and its own reasoning mechanism is applied to maintain the consistency of the ontology logical relationship. Moreover, a graph database by Neo4j is created to store the constructed shield machine intelligent maintenance ontology and related data for the shield machine its intelligent maintenance, ontology model construction technology can also migrate to the field of material synthesis.

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