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| Research on Semantic Relationship and Representation Standardization Model of Knowledge Graph Based on MDR |
| Yuan Man, Liu Mengqi, Mu Mengning |
| School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318 |
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Abstract A systematic review and analysis of current research and publications on knowledge graph standardization worldwide revealed that current knowledge graph processes lack standardization of the underlying semantic relation structure and representation. Therefore, based on an metadata registries (MDR) concept meta-model, this study extends semantic relation types and representations, thereby constructing a standard, extensible, and universal semantic relation meta-model for knowledge graphs for providing the necessary semantic elements and realizing the migration from traditional data semantic structure to the semantic structure of a knowledge graph. Subsequently, to standardize semantic relation representation, a standardized ontology stack was constructed for semantic knowledge graph relations under the guidance of the standardization meta-model, which provides a standard construction system for the standard representation of semantic relations of a knowledge graph based on a semantic relation structure. Finally, in the context of business requirements of down-hole operations in oil fields, the relevant semantic relations were registered, thereby achieving the standardization of semantic relations in the knowledge graph of down-hole operations in oil fields. The rationality and correctness of the proposed innovative semantic relation meta-model was verified for knowledge graphs.
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Received: 09 June 2022
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