  Cognitive Twins (CT) are proposed as Digital Twins (DT) with augmented
semantic capabilities for identifying the dynamics of virtual model evolution,
promoting the understanding of interrelationships between virtual models and
enhancing the decision-making based on DT. The CT ensures that assets of
Internet of Things (IoT) systems are well-managed and concerns beyond technical
stakeholders are addressed during IoT system development. In this paper, a
Knowledge Graph (KG) centric framework is proposed to develop CT. Based on the
framework, a future tool-chain is proposed to develop the CT for the
initiatives of H2020 project FACTLOG. Based on the comparison between DT and
CT, we infer the CT is a more comprehensive approach to support IoT-based
systems development than DT.
