[WEBINAR] Use of Ontologies and Knowledge Graphs for Crop Data by Bayer CropScience
By Ontologies Community of Practice
March 19, 2020
3:00 PM CET
– March 19, 2020
4:15 PM CET
March 19, 2020 3:00 PM CET
March 19, 2020 4:15 PM CET
Date: 19 March 2020
Time: 3:00 PM CET (UTC + 1:00)
Welcome to the first installment of our webinar series “How agricultural industry uses ontologies.” In this new series we will explore the use of ontology and other semantic tools by the Ontologies Community of Practice members of the agricultural industry.
During this first installment, Eric Antezana and Jens Hollunder will present how Bayer CropScience uses ontologies and knowledge graphs to get more insights about their experimental data and answer specific business questions.
If you are new to the concept of knowledge graph and wish to get familiar with it, you can watch our previous webinar on the topic.
Senior Computational Scientist at Bayer CropScience
Antezana’s work focuses on the application of semantic web technologies for knowledge management and terminology management in the life sciences. He is particularly interested in the areas of R&D master data management, as well as data governance. He leads the development and maintenance of controlled vocabularies, taxonomies and ontologies for global R&D applications. He has been part of international advisory boards around agricultural data management as well as expert consultant in the area of biological knowledge management. He regularly serves as reviewer of international projects around data management as well as for research journals.
Senior Data Scientist at Bayer CropScience
Houllunder is leading research and development projects designing data assets and supporting decision-making in R&D, using machine learning, natural language processing, analytics, integrative reasoning, semantic data modelling, and knowledge representations. He was a Post Doctoral Researcher at Vlaams Instituut voor Biotechnologie (VIB) in Ghent, Belgium, working in the life science domain with a research focus on omics data integration and mining, analytics, knowledge management, and retrieval.
Click here to join the webinar online.
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