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Date: Wednesday, 12 June 2019, 3:00PM Central European Time
Content: The Ontologies Community of Practice launched a webinar series to debate, share, and advance our thinking on selected topics in the domain of ontologies. During this second webinar we learned about machine learning technologies and the link with ontologies.
Panelists:
Milko Škofič - Expert in information systems design, data analysis and capacity building. Milko Škofič is a systems analyst with over 20 years of experience in design, development and implementation of plant genetic resources and forestry information systems. He has extensive experience in collecting, aggregating and analyzing data from heterogeneous and geographically dispersed scientific neworks. Currently he supports the creation of national information platforms for nutrition in ten countries.
Xingyi Song - Research associate at the University of Sheffield. Xingyi Song is a research associate at the Natural Language Processing (NLP) group (GATE Team) managed by Prof. Kalina Bontcheva, working in the biomedical domain name/entity and sentiment recognition and analysis. He holds a PhD from the University of Sheffield in Training Machine translation for human acceptability. Song’s work mainly focuses on machine translation, natural language processing and machine learning.
Diana Maynard - Senior research fellow at the University of Sheffield. Dr. Diana Maynard is a senior research fellow at the University of Sheffield, UK, where she has been researching and developing tools for text mining and social-media analysis since 2000. She is one of the key developers of the widely used open source Natural Language Processing (NLP) toolkit GATE, and has special interests in multilinguality, social media, and sentiment analysis.
This webinar was organized by the CGIAR Ontologies Community of Practice as part of a webinar series to debate, share and advance thinking on selected topics in the domain of ontologies.
Blogpost: Can machine learning technologies be useful to create or complete ontologies in agriculture? — Summary page, including a video recording of the webinar - available on the Ontology Community News page of the CGIAR Big Data Platform website
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