Scientific Lake as a Service

Q4 2025
  • Implementation challenges
    • EOSC interoperability
  • Problem addressed

    “Scientific Lake as a Service” provides researchers with tools to create their own knowledge graphs and to integrate them with domain-agnostic science graphs to facilitate knowledge discovery and access. Because structured data is easier to retrieve, SciLake also includes tools for domain-specific experts to create structured knowledge graphs from unstructured information. As an example, the service will include text mining components that will allow users to extract information from texts and incorporate it into Scientific Knowledge Graphs. As a result, even researchers without data mining expertise will be able to access the data. The tools will also attempt to handle content in other languages besides English.

    Who can use the result

    EOSC technical operators, Researchers interested in extracting knowledge from textual data, knowledge graphs and other types of databases.

    Timeline

    Beta version: Q2 2024 Final: Q4 2025

    Type of result