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HelmholtzKG

CLI app to set up micro services of Helmholtz Knowledge Graph locally

This is a web application that provides a textual search interface to the Helmholtz Knowledge Graph. The user can search and filter results related to their queries for the Helmholtz Knowledge Graph via this interface. It is built using NextJs in TypeScript.

More information on the unHIDE initiative and this project, launched by the Helmholtz Metadata Collaboration (HMC), you can be found at https://docs.unhide.helmholtz-metadaten.de.

Documentation of the Helmholtz KG and UnHIDE initiative, which is hosted under: https://docs.unhide.helmholtz-metadaten.de

The documentation includes detailed information on the scope, stakeholder and user guides, as well as, developer guides. Data providers it provides basic information about metadata and how to connect to the graph, as well as how FAIR metadata can look like and should be exposed for a high visibility on the internet. Users find documentation of the available endpoints, i.e. Web front end, SPARQL API. Developers will find technical documentation on the software stack and deployment.

This project maintains formalized mappings of different data schemas into the Helmholtz Knowledge Graphs Internal Data Model. Related documentation can be found at https://docs.unhide.helmholtz-metadaten.de

The Data Storage API provides programmatic access to the stored raw data of the Helmholtz KG. It enables other components or clients to interact with the raw data in a structured and controlled manner.

Gets data from Graph DB such as Virtuoso and indexes it to an indexer such as OpenSearch

Uplift Helmholtz Knowledge Graph graph data to have better connectivity and search