Abstract
The availability of multichannel data in the cyber, physical and social world has challenged Artificial Intelligence (AI) based methods to develop novel tools for integrated modern warfare strategies. Networks are widely being used to represent enriched data in combination with AI tools for deeper insights. The formation of static and dynamic networks from audio, video, GPS, text and social data has shaped network-centric warfare strategies in an integrated setting. The present paper highlights a set of challenges related to inference methods in the cyber, physical and social world. A novel framework is presented in this paper that allows the representation of multidimensional data with a single network-driven viewpoint and representing multidimensional networks in the form of knowledge graphs. The knowledge graphs are presented as an effective tool that has the ability to be utilized in surveillance, strategy development and real-time information sharing for cyber-physical-social worlds. The presented components in the strategic framework are implemented and validated under certain constraints for better understanding.
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