Communication Dans Un Congrès Année : 2025

A multi-modal and temporal antibiotic resistance knowledge graph

Résumé

Understanding how antibiotic resistance genes spread is essential for protecting human, animal, and environmental health. It requires collaboration across multiple fields and expertise under One Health initiatives, emphasizing the pressing need to consolidate diverse antibiotic data from human, animal, and environmental samples. In this paper, we propose a domain-specific Knowledge Graph leveraging the SOSA ontology to uniformly represent multi-modal data and their analysis while allowing the description of provenance metadata covering both time and geographical locations. This work is driven by a national consortium of antibiotic resistance experts (ABRomics). As experimental results,we show how this domain knowledge can be used to answer a specific expert question as well as increasing the FAIRness of antibiotic resistance data.

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Dates et versions

hal-04976716 , version 1 (04-03-2025)

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  • HAL Id : hal-04976716 , version 1

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Brieuc Quemeneur, Audrey Bihouée, Samuel Chaffron, Claudine Médigue, Hervé Ménager, et al.. A multi-modal and temporal antibiotic resistance knowledge graph. SWAT4HCLS 2025 - 16th International SWAT4HCLS conference : Semantic Web Applications and Tools for Health Care and Life Sciences, Scientifika, Feb 2025, Barcelone, Spain. ⟨hal-04976716⟩
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