Abstract
Common Operational Picture and in consequence Situation Awareness, had been second class issue treated as a result of decision support procedures. This work concentrates mainly on developing methods for integrating battlefield data using ontologies and presenting such data in distributed GIS environment supported by reasoning methods. Such approach allows to organize and filter data using predefined filters dedicated for various level of command and types of operations. Combining semantic data and spatial querying mechanisms, produce extendable and rapid mechanism for battlespace information presentation which vastly increases the speed of decision process. Published results contain analysis of known military domain models. Based on such study, author proposed, a core ontology for representing current battlefield scenario, filled with geospatial information and tactical data gathered from decision support algorithms and military domain analysis. The concept have been applied in presented designed and developed prototype in Service Oriented Architecture demonstrating, a Network Enabled Capability integrated battlespace picture.
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Chmielewski, M. (2009). Ontology Applications for Achieving Situation Awareness in Military Decision Support Systems. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_46
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DOI: https://doi.org/10.1007/978-3-642-04441-0_46
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