Ontology-based Semantic Data Model for Command and Control

• Published in: 2023 9th International Conference on Big Data and Information Analytics (BigDIA) pp. 330 - 335
• Main Authors: Yang, Xuesheng, Huang, Jinhui, Ao, Fujiang, Yin, Junsong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.12.2023
• Subjects: command and control; Command and control systems; Data models; knowledge graph; Military systems; multi-layer ontology; Ontologies; ontology; Organizations; Pragmatics; semantic data model; Semantics
• ISSN: 2771-6902
• DOI: 10.1109/BigDIA60676.2023.10429478

The traditional data model tightly coupled with specific information system is usually rigid, inflexible and difficult to integrate. It is difficult to meet the needs of semantic information sharing and exchange in a complex dynamic environment, and it is also difficult to realize the agile reorganization and adaptive transformation of data. In order to solve the problem of semantic integration of large-scale information and realize free aggregation and decomposition, flexible organization and association mining of data, it is necessary to build a semantic data model based on ontology. Based on the concept of ontology layering and the characteristics of military system, this paper proposes a multi-level semantic data model framework for command and control, which covers top-level ontology, middle-level ontology, domain-level ontology, application-level ontology and instance-level ontology, and puts forward some important technical issues related to the construction and application of semantic data model. The semantic data model system proposed in this paper effectively takes into account the completeness, implementability and extensibility of the data model, which can be used as a reference for solving the problem of pragmatic interoperability and realizing the semantic comprehensibility, linkability and reasoning of data.