SciLake Deliverable D5.2: Pilot Evaluation Report
Year: 2026
Type: article
Abstract: 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.
Authors: Rager, Jakob, Andrea, Salmi, Leergaard, Trygve B., Golla, Archana, Vergoulis, Thanasis, Kotitsas, Sotiris, Sofianopoulos, Sokratis, Chatzopoulos, Serafeim, Parra Rojas, César, Accuosto, Pablo, de Graaf, Daan, Yakovets, Nikolay, Rabbani, Leily, Hägerstrand, Daniel, Ballis, Athanasios, Bolovinou, Anastasia, Anagnostopoulou, Afroditi, Kitsios, Xenophon, Psomopoulos, Fotis, Gavriilidis, George, Kardamiliotis, Konstantinos, Moreno Schneider, Julián
Institutions: HES-SO Valais-Wallis, University of Oslo, Athena Research and Innovation Center In Information Communication & Knowledge Technologies, SIRIS Academic, Eindhoven University of Technology, Karolinska Institutet, Panteion University, Institute of Communication and Computer Systems, e-Trikala (Greece), National Technical University of Athens, Centre for Research and Technology Hellas, German Research Centre for Artificial Intelligence
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W7154708268
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