The Rail Data Forum 2025 showed that the rail sector is actively investing in semantic technologies and knowledge graphs
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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.
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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