Modular composition of SPARQL queries for focusing on what to look for rather than how to get it

Authors

Yael Tirlet
E. Becker (ORCID: https://orcid.org/0000-0002-7673-0582)
Olivier DAMERON
Jerven Bolleman (ORCID: https://orcid.org/0000-0002-7449-1266)
Fabrice Legeai

Institutions

SIB Swiss Institute of Bioinformatics (CH)
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
Structure Fédérative de Recherche en Biologie et Santé de Rennes (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2026-03-23
Primary Topic: Semantic Web and Ontologies
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Australian Government
Agence Nationale de la Recherche
Swiss Institute of Bioinformatics
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

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article

Modular composition of SPARQL queries for focusing on what to look for rather than how to get it

Yael Tirlet, E. Becker, Olivier DAMERON, Jerven Bolleman et al.

Mar 23, 2026

SPIRE - Sciences Po Institutional REpository

Semantic Web and Ontologies

article

Modular composition of SPARQL queries for focusing on what to look for rather than how to get it

Yael Tirlet, E. Becker, Olivier DAMERON, Jerven Bolleman, Fabrice Legeai

March 23, 2026article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

SIB Swiss Institute of Bioinformatics (CH), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Structure Fédérative de Recherche en Biologie et Santé de Rennes (FR)

Australian Government, Agence Nationale de la Recherche, Swiss Institute of Bioinformatics, 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

Openalex Percentile: Top 60%

Semantic Web and Ontologies

Open Access PDF OpenAlex

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