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From Fragments to Insights: Making Scientific Knowledge Discoverable - Results and opportunities from the SciLake project

Scientific research today faces a critical challenge: valuable knowledge is scattered across countless sources, making discovery difficult and hindering informed decision-making. After three years of collaborative research and innovation, SciLake has created practical solutions that give researchers the tools to turn their domain knowledge into standardized, interoperable Scientific Knowledge Graphs (SKGs).

Bridging Domain Expertise and Knowledge Management

SciLake bridges the gap between domain expertise and technical knowledge management. While scientists understand their fields deeply, they often lack the specialized skills to organize knowledge effectively. Conversely, technical experts need domain insights to structure information meaningfully.

Through collaboration with experts in neuroscience, cancer, transportation, and energy research, we have created a highly customizable ecosystem of components for seamless data access and knowledge discovery.

Program Highlights

  • Two expert panels on
    • Turning scattered knowledge into living knowledgs graphs
    • Unlocking hidden patterns in knowledge graphs
  • Live demonstrations from four domain-specific pilot applications
  • Q&A sessions

Learn more and check the agenda here!

 

 

Target groups: Researchers, Research Communities, Research Support Staff

Date

Mar 10, 2026
@9:00 am CET

Presenters

  • Thanasis Vergoulis (ARC)
  • Stefania Amodeo (OpenAIRE)
  • Miriam Baglioni (ISTI-CNR)
  • Nicolau Duran (SIRIS Academic)
  • Eric Jeangirard (MESR)
  • Haris Papageorgiou (ARC)
  • Natalia Manola (OpenAIRE)
  • Bianca Kramer (Sesame Open Science)
  • Andreas Kolleger (Neo4j)
  • Francesco Osborne (Open University)
  • Nick Yakovets (TUe)
  • Serafeim Chatzopoulos (ARC)
  • César Parra Rojas (SIRIS Academic)
  • Mary Melekopoglou (ARC)
  • Andrea Salmi (HES-SO Valais-Wallis)
  • Daan de Graaf (TUE)
  • Jakob Rager (HES-SO Valais-Wallis)

Participants

49


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