Abstract:

Varieties of concept modes on equipment system of systems (ESoS) exist some uncertainties such as mingled semantics connotation, inseparable denotative objects, dynamic fuzziness of system boundaries. These factors restrict ESoS comprehensive cognition. Meanwhile, big data modeling, analyzing and decisionmaking supporting are of great opportunities to descript the SoS models for knowledge discovery. A constructing framework is firstly proposed that according to a generalized complex information system viewpoint of ESoS, formal triadic concept analysis theory (TCA) is adopted to formalize the concepts and the hiberarchy networked structure between concept elements so that a cognitive system model could be derived from data contexts. Secondly, the big data modeling process stages of semantic hyper-network from the view of capability is analyzed and super-graph is used to formalize the data model. Lastly, the research actualities about concept cognitive system is simply summarized, a semantic context strategy is proposed to construct the formal triadic concepts with the relation between covering context and the triadic concept is discussed. The contents would be beneficial to explore ESoS cognitive computing applying big data.