New Expert Insights: How Knowledge Graphs Can Transform Data Management in Manufacturing SMEs

By NTUA – Kostas Tsitseklis National Technical University of Athens (NTUA)

3 February, 2025

In the fast-moving world of Industry 4.0, efficient data management is crucial for small and medium-sized manufacturing enterprises (SMEs). Yet, many still rely on outdated storage methods that make it difficult to track materials, analyze production processes, and extract valuable insights.

Our partner from the DiMAT Project, Kostas Tsitseklis from NTUA, explores how Knowledge Graphs can bridge this gap by structuring manufacturing data in a way that highlights interconnections and enables smarter decision-making.

From interactive dashboards to an AI-powered chatbot, his latest article showcases how SMEs can transition from fragmented spreadsheets to intelligent, graph-based data systems.

By leveraging DiMAT’s Knowledge Acquisition Framework (DiKAF), SMEs can:

• Visualize complex data relationships for better process optimization
• Access insights effortlessly with AI-driven chatbot assistance
• Enhance interoperability with structured data representation

Want to see how this technology is reshaping the industry?

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