Science Cafe: From data to Knowledge

18mei19:45Science Cafe: From data to Knowledge


Historically, now we have an unprecedently large amount of data available in various systems, and the growth of data volumes is rapid and continuous. The numbers of scientific papers published per year are higher than ever before. Which data and scientific findings get shared, for which purposes, and how? How to address open and closed data, and reproducibility crisis? How to convert Big Data into Smart Data, that is interpretable by a both machine and human? And how to make sure that the resulting Smart Data is trustworthy?

In this Science Café, dr. Anna Fensel will discuss these questions, particularly, from the technical perspective, and give examples for relevant solutions implemented with Semantic Web technology, linked data, knowledge graphs and FAIR (Findable, Accessible, Interoperable, Reusable) data management. Dr. Anna Fensel is Associate Professor at Wageningen University & Research, Wageningen, the Netherlands, and at Semantic Technology Institute, Department of Computer Science, University of Innsbruck, Austria. Her research field is artificial intelligence and data science. Previously she lived and worked in Austria, United Kingdom, and Russian Federation. Her university degrees are in computer science and applied mathematics. She has taken lead or part in ca. 30 collaborative scientific projects at EU, international and national levels, authored ca. 140 refereed publications, and has been a supervisor of ca. 50 PhD, Master and Bachelor theses students.

Also, sensor data is important in intelligent robotic systems that are used in Argo-food applications. Robots use AI to learn about the environment and to make decisions. But how can a robot process sensor data and transfer it to information to act upon? Advanced image processing methods could help the robots see and think. In the second talk, dr. Aneesh Chauhan, the expertise leader of the Computer Vision group at Wageningen Food and Biobased Research Institute will speak about how computer vision, machine learning and robotics will play a significant role in achieving a sustainable Agro-food systems.


18/05/2022 19:45(GMT+00:00)

Scroll to top