Result description
SciLake is building a data storage and analytics service to accommodate, manage, and expose heterogeneous scholarly content through domain-agnostic or domain-specific “Scientific Knowledge Graphs” together with relevant unstructured data (e.g., scientific texts). This is expected to facilitate the creation of customisable added-value services for various research communities.
SciLake is building upon the OpenAIRE Graph and existing domain-specific knowledge graphs (e.g. the EBRAINS Knowledge Graph).
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 2025How to use the result
Type of result
