Presentations
Impulses - Key points from the presentations
In two short introductory presentations, we outlined the mission and vision of the Helmholtz Knowledge Graph and provided a high-level overview of how it works.
Mission & Vision:
The Helmholtz KG aims to create a coherent, linked, and queryable representation of Helmholtz digital assets. It acts as a semantic “umbrella” across Helmholtz Research Data Infrastructures (RDIs). The system is continuously updated to reflect changes at the level of the data providers and is actively maintained and further developed within HMC. Following initial prototyping and the establishment of core infrastructure, the current focus is on increasing coverage across Helmholtz.
Infrastructure
At its core, the HKG consists of an RDF graph that can be accessed via SPARQL or a web interface. A substantial part of the system, however, lies in the surrounding infrastructure: a set of libraries that implement a data pipeline for harvesting metadata from data providers, mapping it to the HKG data model, and validating it. The HKG data model is based on schema.org with custom extensions (e.g. for provenance tracking or representing scientific instruments) and forms the semantic backbone (T-box) of the graph. It is intentionally kept minimal to (A) enable controlled validation of incoming data and (B) maintain a lean and scalable central graph. As a result, metadata within RDIs will generally be more expressive than their representation in the HKG. The goal is therefore to establish gradual semantic overlap to (A) support findability, (B) increase harmonization, and (C) enable federated queries via the HKG SPARQL interface.
Presentations slides
Below you can find the slides presented as impulse presentations during the workshop.
