Datamplify to deliver data engineering for SPARRK-UA

Datamplify will deliver semantic data processing, knowledge graph integration, and AI-ready data workflows for the SPARRK-UA project.

In particular, Datamplify is pleased to serve as Data Engineering subcontractor in the EU-funded project SPARRK-UA (Semantic Provenance for AI-ready Responsible Research of at-risK Ukrainian Artifacts) 2026-2027, implemented under the Horizon Europe programme by a consortium of leading European organizations. The project focuses on advancing digital tools and knowledge infrastructures for provenance research and cultural heritage documentation.

Within this collaboration, Datamplify will deliver specialized data engineering services, including:

  • Multilingual Named Entity Recognition (NER) pipelines;
  • Data cleaning and normalization workflows;
  • Knowledge graph validation using SPARQL;
  • Wikibase repository population and data integration; and
  • RDF/JSON-LD data publishing and semantic data engineering.

This collaboration further strengthens Datamplify’s expertise in semantic technologies, knowledge graphs, AI-powered data processing, and FAIR data infrastructures, supporting research and innovation projects across Europe.

We are proud to contribute our technical expertise to SPARRK-UA and to support the development of open, interoperable, and sustainable digital research infrastructures.

Learn more about the project: https://web2learn.eu/sparrk-ua

 

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