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| Research on the Theoretical Model of Fundamental Data Semantic Knowledge Representation Based on Semantic Triangles and Related Theories |
| Yuan Jingshu, Zhai Kexin, Yuan Man |
| School of Computer & Information Technology, Northeast Petroleum University, Daqing 163318 |
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Abstract The ISO/IEC 11179:2023 Information technology—metadata registry (MDR) standard provides data semantic governance and management. Its research and application have triggered in-depth thinking about the intention of fundamental data semantic knowledge and its constituent elements. Based on this, this study adopts the traceability method to systematically identify the basic theories and standards related to the semantic organization and representation of data. Although Ogden and Richard’s semantic triangle and Dalberg’s conceptual triangle are classic core theories, they mainly explain the logical relationships between elements from a higher-order perspective, making it difficult to meet the current demand for fine-grained and rich data semantic knowledge representation. To this end, this study first takes two types of triangle theories as the core and constructs three fundamental conceptual semantic knowledge representation theoretical models and the conceptual semantic triangle integration model from a multidisciplinary theoretical perspective in the conceptual world, revealing human cognition of real-world things and the mechanisms of complex semantic organization and representation. Second, in the computer world, three types of fundamental metadata semantic knowledge representation theoretical models, semantic pyramid theoretical models, and basic semantic knowledge representation models based on MDR are constructed in sequence. The mapping, organization, and representation processes of conceptual semantics to metadata semantics in the computer are systematically explored, and the standardized representation of metadata semantics is achieved based on the MDR standard. Finally, the validity of the models is verified by constructing educational resource metadata and semantic description cases. The results of this study can provide theoretical references for the research and governance of data semantic standards in fields such as knowledge organization and data modeling.
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Received: 15 October 2024
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