Zhang, H.; Zhang, A.; Wang, C.; Zhang, L.; Liu, S. Research on Construction and Application of Ocean Circulation Spatial–Temporal Ontology. J. Mar. Sci. Eng.2023, 11, 1252.
Zhang, H.; Zhang, A.; Wang, C.; Zhang, L.; Liu, S. Research on Construction and Application of Ocean Circulation Spatial–Temporal Ontology. J. Mar. Sci. Eng. 2023, 11, 1252.
Zhang, H.; Zhang, A.; Wang, C.; Zhang, L.; Liu, S. Research on Construction and Application of Ocean Circulation Spatial–Temporal Ontology. J. Mar. Sci. Eng.2023, 11, 1252.
Zhang, H.; Zhang, A.; Wang, C.; Zhang, L.; Liu, S. Research on Construction and Application of Ocean Circulation Spatial–Temporal Ontology. J. Mar. Sci. Eng. 2023, 11, 1252.
Abstract
Ocean circulation serve as the primary channels for transporting material and energy flows throughout the entire ocean system, which plays a crucial role in shaping Earth’s climate, weather patterns, and marine ecosystems. The ocean movements have far-reaching impacts on both the environment and human life. An effective method for semantically modeling the ocean circulation is urgently required to be established. To achieve a unified description of ocean circulation at the semantic level, this paper introduces the theory and methodology of ocean ontology, which is developed through an analysis of domain knowledge in ocean circulation. We focus on analyzing the concepts, temporal relationships, and spatial relationships of ocean circulation. By defining classes, properties, relationships, instances, and constraint conditions within the logical structure of an ontology, it is feasible to formalize the expression of conceptual elements and their relationships. Additionally, semantic inference rules are established to finalize the construction of the ocean circulation ontology. The effectiveness of ontology construction has been verified through practical examples. Furthermore, a specialized knowledge base framework has been developed upon the ontology description of ocean circulation. Some examples of knowledge base queries have been articulated and verified. The results demonstrate that this ontology can effectively represent the relevant knowledge in the domain of ocean circulation and provide a meaningful strategy for investigating semantic integration and knowledge sharing in this field.
Keywords
ontology; spatial-temporal ontology; ocean circulation; semantic analysis; Web Ontology Language (OWL)
Subject
Environmental and Earth Sciences, Oceanography
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
