Larmande Pierre auteur aut IRD Todorov K. auteur aut IRD text bookSection eng text/pdf born digital access Recent advances in sequencing technologies and high-throughput phenotyping have revolutionized the analysis in the field of the plant sciences. However, there is an urgent need to effectively integrate and assimilate complementary information to understand the biological system in its entirety. We have developed AgroLD, a knowledge graph that exploits Semantic Web technologies to integrate information on plant species and in this way facilitate the formulation and validation of new scientific hypotheses. AgroLD contains around 900M triples created by annotating and integrating more than 100 datasets coming from 15 data sources. Our objective is to offer a domain specific knowledge platform to answer complex biological and plant sciences questions related to the implication of genes in, for instance, plant disease resistance or adaptative responses to climate change. In this paper, we present results of the project, which focused on genomics, proteomics and phenomics. We present the AgroLD pipeline for lifting the data, the open source tools developed for these purposes, as well as the web application allowing to explore the data. specialized 122APPLIC 076AMEPLA Hotho A. ed. edt IRD Blomqvist E. ed. edt IRD Dietze S. ed. edt IRD Fokoue A. ed. edt IRD Ding Y. ed. edt IRD Barnaghi P. ed. edt IRD Haller A. ed. edt IRD Dragoni M. ed. edt IRD Alani H. ed. edt IRD 12922 496-510 Cham Springer 2021 ISWC 2021 : International Semantic Web Conference, 20., [En ligne], 2021/10/24-28 https://www.documentation.ird.fr/hor/fdi:010083662 10.1007/978-3-030-88361-4_29 978-3-030-88360-7 [F B010083662] https://www.documentation.ird.fr/hor/fdi:010083662 https://www.documentation.ird.fr/intranet/publi/2022-02/010083662.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2021-11-24 2025-02-24 fdi:010083662 fre