Join us at Enlit Europe 2026 in Vienna, Austria, connect with 15,000 energy and data professionals to explore how knowledge graphs and semantic data management can accelerate the energy transition at enterprise scale.
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Vladimir Alexiev
Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification, he has led R&D at software companies for over a decade, working across cultural heritage, industrial data, and now power systems. His expertise spans ontology engineering, knowledge graphs, RDF/OWL, SPARQL, and semantic data integration: the full stack that makes complex, fragmented data meaningful and machine-readable. At Graphwise, Vladimir leads the technical vision behind Talk2PowerSystem, applying semantic web principles to make power system models truly accessible through natural language.
Event
Talk2PowerSystem: Democratizing Power System Analytics via Generative AI
Complex grid data is usually locked behind specialized analysts. Statnett and Graphwise present a natural language chatbot that lets anyone query intricate energy data with plain-language questions.
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Blog Post
Advancing Power System Analysis with AI and Semantic Data
Read about how Talk2PowerSystem enables power system engineers to query complex grid data using natural language.
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Blog Post
The Rail Industry Embraces Semantics: Insights from the Rail Data Forum 2025
The Rail Data Forum 2025 showed that the rail sector is actively investing in semantic technologies and knowledge graphs
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Blog Post
Improving ERA SHACL Shapes and Data Flows
Read about Graphwise experience with complex SHACL shapes and how ERA SHACL shapes can be simplified by a third
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