Creating a Knowledge Graph for Holocaust archival metadata

The European Holocaust Research Infrastructure (EHRI) aims to enhance access to information about Holocaust-related historical sources and promote transnational scholarship. Through the EHRI Portal it makes available over 370,000 archival descriptions, from 2,000 institutions worldwide.

The OSCARS Project logo

EHRI-KG is an OSCARS-funded project to develop a comprehensive Linked Open Data (LOD) Knowledge Graph (KG) to complement the EHRI Portal, further advancing data accessibility and aligning with the evolving semantic web and LOD standards.

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A short introduction to the EHRI-KG project

EHRI-KG outputs

These are some of the outputs generated by the EHRI-KG project.

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Sampo-UI
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Sampo-UI allows users to navigate a Knowledge Graph using a faceted search as well as generating different types of visualisations and graphics. This software has been adapted, configured and customised to work with the EHRI-KG. If you are not an expert on semantic technologies, this is your starting point.

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SPARQL endpoint
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The SPARQL endpoint allows expert users and agents to perform arbitrary queries against the EHRI-KG triple store. It is also the backbone for the rest of the services and tools.

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OpenAPI REST API
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If you do not want to deal with SPARQL and prefer a good-old REST API, you can try our OpenAPI-compliant REST API, built using grlc.

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EHRI-KG Ontology
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The ontology defines the data model used by the EHRI Knowledge Graph for the representation of the information hosted in the EHRI Portal. It does so by extending RiC-O v1.1 and reusing some of the schema.org concepts.

EHRI-KG Lodview interface image
EHRI-KG Lodview interface
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The EHRI-KG Lodview interface offers an easy-to-use website to navigate over the KG entities. You will also find some example SPARQL queries that will help in answering more complex research questions.

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