Services

Harnessing the power of knowledge graphs, SciLake offers a federation of tools and on-demand services to streamline the process of searching, accessing, and analyzing research knowledge.

SciLake ecosystem's key features include:

Multiple Components

SciLake provides a suite of interconnected tools built on knowledge graph technology, facilitating efficient scientific information extraction and analysis.
Easy Implementation

The ecosystem can be readily deployed on a computer cluster. Researchers can selectively install and utilize components that align with their specific requirements, whether opting for individual tools or integrated packages.
Adaptability

The flexible framework allows researchers across various disciplines to customize SciLake for their unique projects, as demonstrated by our pilot programs, making it an invaluable asset for diverse scientific endeavors.

Fundamental Tier: the Scientific Lake Service

The Scientific Lake service forms the core of SciLake, offering a comprehensive suite of tools for creating, connecting, and exploring Scientific Knowledge Graphs (SKGs). This powerful subsystem hosts both domain-specific SKGs (tailored for each SciLake pilot) and domain-agnostic resources like the OpenAIRE Graph.

SciLake brings together the best in knowledge graph technology to revolutionize your research process. Key components include:

SciLake Catalogue: A gateway to discovering SKGs and tools across the SciLake network
Knowledge Graph Creation: Tools for building and enriching domain-specific SKGs
AvantGraph: A cutting-edge SKG engine, powering seamless data access and querying
Lake API: A unified interface for accessing graph data, built on industry standards for maximum compatibility

Ready to experience the power of SciLake?

Explore the Initial version of the Scientific Lake service: https://zenodo.org/records/12799953

Dive deeper into all the Scientific Lake Service components

Application Tier: Value-added Services

The Application Tier makes use of the Scientific Lake service to access the required scientific knowledge space and offer additional value-added services to support the research community. These services fall into two main categories:

Impact-driven Discovery Services

Tools to enhance scientific domain exploration offering insights about the impact of research products in the scientific community. Components include: keyword search for research products, impact-based ranking, Fields-of-Science classification, and topic trend analysis. All of them, combined with domain knowledge incorporated in SKGs.

Explore the Initial version of the smart impact-driven discovery service

Dive deeper into the Impact-driven Discovery service components

Reproducibility Assistant Services

Tools to help researchers improve the transparency and replicability of their work. Components include: identification of missing links between research products, semantic classification, calculation of reproducibility indicators.

Explore the Initial version of the smart reproducibility assistance service

Dive deeper into the Reproducibility Assistance service components

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