Webinar : Machine Learning and ontology

Can machine learning technologies be useful to create or complete ontologies in agriculture?
The Ontologies Community of Practice (CoP) of the CGIAR Platform for Big Data in Agriculture launched a webinar series to debate, share and advance our thinking on selected topics in the domain of ontologies. During this second webinar we will learn about Machine Learning technologies and and see if and how Machine Learning can be used to build or extend ontologies.
Speakers:
Milko Škofič, Expert in information systems design, data analysis and capacity building;
Xingyi Song, Research associate at the University of Sheffield;
Diana Maynard, Senior research fellow at the University of Sheffield;
Engage with the CoP Ontologies
Website: bigdata.cgiar....
LinkedIn: / 13707155
Newsletter: cgiar.us15.lis...
Publications on the topic
GATE: gate.ac.uk/gat...
Are Ontologies relevant in a Machine Learning-centric world? : www.scibite.co...
Ontology Matching: A Machine Learning Approach: homes.cs.washi...
Taxonomies, Ontologies And Machine Learning: The Future Of Knowledge Management: www.forbes.com...
Machine Learning in Agriculture: Applications and Techniques : / machine-learning-in-ag...
Smart Farming, or the Future of Agriculture: / smart-farming-or-the-f...
Difference Between Statistics vs Machine learning: www.educba.com...
Why the difference between AI and machine learning matters: bdtechtalks.co...
Five Machine Learning Paradoxes that will Change the Way You Think About Data: towardsdatasci...
Data Mining and Statistics: What is the Connection?: statweb.stanfor...
What’s the Difference between AI, Machine Learning and Deep Learning?: lionbridge.ai/...
Artificial Intelligence vs. Machine Learning: www.dataversit...
Machine Learning vs Traditional Programming: towardsdatasci...
Clearing the Confusion: AI vs Machine Learning vs Deep Learning Differences: towardsdatasci...

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