A large collection of bioinformatics question–query pairs over federated knowledge graphs: methodology and applications

We encourage the community to adopt and extend the proposed methodology, towards richer KG metadata and improved Semantic Web services. URL: https://github.com/sib-swiss/sparql-examples.

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Publication Details

Journal
GigaScience
Published
2025-01-01
DOI
https://doi.org/10.1093/gigascience/giaf045
Citations
3
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
2.42

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article

A large collection of bioinformatics question–query pairs over federated knowledge graphs: methodology and applications

Marco Pagni, Séverine Duvaud, Tarcisio Mendes de Farias, Dmitry Kuznetsov et al.
3 citations
GigaScience
Biomedical Text Mining and Ontologies
2.42
article

A large collection of bioinformatics question–query pairs over federated knowledge graphs: methodology and applications

Marco Pagni, Séverine Duvaud, Tarcisio Mendes de Farias, Dmitry Kuznetsov, Monique Zahn‐Zabal, Ana-Claudia Sima, Sébastien Moretti, Elisabeth Gasteiger, Nicole Redaschi, Vincent Emonet, Marie-Claude Blatter, Amos Bairoch, Jerven Bolleman, Adrian Altenhoff, Pierre-André Michel, Alan Bridge, Anne Morgat
article en
3 citations

Abstract

We encourage the community to adopt and extend the proposed methodology, towards richer KG metadata and improved Semantic Web services. URL: https://github.com/sib-swiss/sparql-examples.

GigaScienceVol. 14
SIB Swiss Institute of Bioinformatics (CH)
Spine Education and Research Institute, Statens Naturvidenskabelige Forskningsrad, Australian Government, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, National Institutes of Health, Staatssekretariat für Bildung, Forschung und Innovation, National Institute on Aging, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Eye Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, CHIST-ERA
Openalex Percentile: Top 12%
Biomedical Text Mining and Ontologies
2.42
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