The CogTwin project introduces a novel Cognitive Digital Twin (CDT) framework designed to address the complex and evolving challenges of modern knowledge ecosystems, with a specific focus on smart city management. Today’s interconnected world generates an unparalleled data deluge that challenges traditional analysis methods, hindering the ability to derive timely and actionable intelligence. This research confronts this issue by proposing CogTwin, a reusable and adaptable cognitive architecture engineered to navigate the dynamic, heterogeneous, and continuously evolving data environments that bridge physical realities with their digital representations. The ultimate vision is to empower intelligent decision-making, paving the way for more efficient, resilient, and sustainable systems.

At its core, the project’s innovation is a tripartite scientific contribution that systematically builds a complete solution from the ground up. First, it establishes a Foundational Contribution by delivering novel methodologies for constructing the essential knowledge bedrock that cognition requires. This includes OntoSmartDCU for creating dynamic Knowledge Graphs (KGs) from real-time data and LLMasMMKG for LLM-assisted synthetic enrichment. Second, it presents the core Architectural Contribution: the design and specification of the CogTwin framework itself. This hybrid cognitive architecture, featuring a dual KG system and a rapid cognitive cycle, provides a reusable model for machine cognition in knowledge-intensive environments.

Finally, the project delivers a crucial Methodological Contribution by providing a rigorous, KG-driven evaluation strategy. In a field lacking standardized benchmarks, this offers a much-needed blueprint for validating complex cognitive systems, ensuring that the framework’s efficacy can be empirically substantiated. By presenting a novel cognitive framework alongside a meticulous strategy for its validation, this research paves the way for a new generation of intelligent and adaptive Digital Twins. While showcasing its potential in the critical domain of urban development, CogTwin offers a foundational blueprint for broader applications wherever complex systems demand true cognitive capability.