Integration of Bioimage and *Omics data resources

This Poster was presented at the 2025 All Hands Meeting of the NFDI4BIOIMAGE Consortium. It presents the current state of data integration activities at the MPI for Evolutionary Biology. Various data and metadata resources such as the internal image data repository OMERO and the Electronic Lab Notebook System OpenBIS are converted into a RDF Knowledge Graph utilizing a R2RML mapping scheme based on the Ontop-VKG framework. The materialized Knowledge Graph is then served via the QLever SPARQL endpoint and user interface. A graphical query editor (SPARNatural) assists users with no SPARQL knowledge in constructing their queries by selecting triple elements from dropdown menus and other widgets. We also present a benchmark comparison of query response times on 10 selected SPARQL queries run against three different endpoint/triplestore implementations. This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 46/1 – 501864659

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-05
DOI
https://doi.org/10.5281/zenodo.14792533
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
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article

Integration of Bioimage and *Omics data resources

Zenodo (CERN European Organization for Nuclear Research)
Biomedical Text Mining and Ontologies
article

Integration of Bioimage and *Omics data resources

article en

Abstract

This Poster was presented at the 2025 All Hands Meeting of the NFDI4BIOIMAGE Consortium. It presents the current state of data integration activities at the MPI for Evolutionary Biology. Various data and metadata resources such as the internal image data repository OMERO and the Electronic Lab Notebook System OpenBIS are converted into a RDF Knowledge Graph utilizing a R2RML mapping scheme based on the Ontop-VKG framework. The materialized Knowledge Graph is then served via the QLever SPARQL endpoint and user interface. A graphical query editor (SPARNatural) assists users with no SPARQL knowledge in constructing their queries by selecting triple elements from dropdown menus and other widgets. We also present a benchmark comparison of query response times on 10 selected SPARQL queries run against three different endpoint/triplestore implementations. This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 46/1 – 501864659

Zenodo (CERN European Organization for Nuclear Research)
Max Planck Institute for Evolutionary Biology (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Biomedical Text Mining and Ontologies
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