This deliverable presents the evaluation of the SciLake knowledge‑management ecosystem across four domain pilots: Energy, Cancer, Neuroscience, and Transportation. The pilots tested SciLake’s ability to generate and enrich domain‑specific Scientific Knowledge Graphs (SKGs) through semantic annotation, entity extraction, citation analysis, and classification services. The evaluation followed a structured methodology combining preparatory pilot setup, component‑level validation and pilot demonstrators assessing end‑to‑end research workflows. Results show that SciLake’s modular architecture effectively supports semantic exploration, structured search, and graph‑based analysis, with high user acceptance and strong performance across key services. The assessment confirms the system’s operational readiness while identifying areas for refinement. Overall, the pilots validate SciLake as a coherent and extensible ecosystem for advanced scientific knowledge discovery.
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Jakob Rager
Salmi Andrea
HES-SO University of Applied Sciences and Arts Western Switzerland
Trygve B. Leergaard
University of Oslo
Karolinska Institutet
University of Oslo
Eindhoven University of Technology
Building similarity graph...
Analyzing shared references across papers
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Rager et al. (Tue,) studied this question.
synapsesocial.com/papers/69e473bd010ef96374d8f767 — DOI: https://doi.org/10.5281/zenodo.19347349
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