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Abstract
The French ANR project "Data to Knowledge in Agronomy and Biodiversity" D2KAB (www.d2kab.org) has created a framework to turn agronomy and biodiversity data into knowledge –semantically described, interoperable, actionable, open– and investigate scientific methods and tools to exploit this knowledge for applications in science & agriculture. One of the five driving scenarii of D2KAB was to publish on the Web of Linked data an archive of French agricultural alert bulletins, called Plant Health Bulletins (Bulletins de Santé du Végétal). To annotate the bulletins using crop diseases and pests, we need a new semantic resource. Several ontologies and knowledge graphs already exist on the subject, but they do not cover all our needs. We have therefore developed a new knowledge graph about "BioAGgressor of GrapeVine" (BAG-GV), populating the BioAGgressor Ontology (BAGO). This new knowledge graph was developed using the results of entity extraction tool AlvisNLP applied on a set of Plant Health Bulletins of grapevine. The KG was then validated by human experts.
Description
This knowledge graph was build during the D2KAB project. The goal is to model all the living organisms involved in grapevine plant disease appearance. The graph and its documentation represent the point of view of some french researchers from differents institutions: French Institute of Vine and Grapevine (IFV), INRAE., The Knowledge Graph on BioAGgressor of GrapeVine (BAG-GV) was build during the D2KAB project. The goal is to model all the living organisms involved in grappevine disease appearance and pests. The graph and its documentation represent the point of view of some french researchers from differents institutions: French Institute of Vine and Grapevine (IFV)
Initial created on
January 30, 2025.
For additional information, contact
Catherine Roussey (catherine.roussey@inrae.fr).
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January 30, 2025
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January 30, 2025
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