Equipment defect domain ontology is the semantic basis for constructing equipment defect knowledge graph, which can be used to organize, share, and analyze equipment defect related knowledge. At present, there are many relevant data in the field of equipment defects, such as equipment information model, equipment management documents, and equipment defect reports. These equipment defect data often focus on a single aspect of the equipment defect field. It is difficult to integrate the database with various types of equipment defect information. This paper combines the characteristics of existing equipment defect data sources to build a general equipment defect domain ontology. This research can break the barrier of multi-source heterogeneous knowledge, build an efficient storage engine for multimodal data, and empower the safety of industrial Internet.
Equipment defect domain ontology is the semantic basis for constructing equipment defect knowledge graph, which can be used to organize, share, and analyze equipment defect related knowledge. At present, there are many relevant data in the field of equipment defects, such as equipment information model, equipment management documents, and equipment defect reports. These equipment defect data often focus on a single aspect of the equipment defect field. It is difficult to integrate the database with various types of equipment defect information. This paper combines the characteristics of existing equipment defect data sources to build a general equipment defect domain ontology. This research can break the barrier of multi-source heterogeneous knowledge, build an efficient storage engine for multimodal data, and empower the safety of Industrial applications, data, and platforms in multi-clouds for Internet of Things (IoT).
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