IEA Wind Task 43 Metadata Challenge webinar series #1 "Ontology-based techniques for managing data streams"

Name: IEA Wind Task 43 Metadata Challenge webinar series #1 "Ontology-based techniques for managing data streams" — Swiss Wind Energy R&D Network
Start: 2022-12-09T15:00:00+0100
End: 2022-12-09T16:00:00+0100

Friday, December 9, 2022
3:00 PM 4:00 PM 15:00 16:00

Google Calendar ICS

SIGN UP FOR OUR NEXT WEBINAR!

As part of the IEA Wind Task 43 Metadata Challenge, we run a series of public webinars that aim to improve collaboration between Knowledge Engineering experts and domain experts in the area of wind energy. In this webinar we will discuss the use of ontology-based techniques for managing data streams, potentially coming from heterogeneous sources. First we will hear from the experience of Jean-Paul Calbimonte, senior researcher at the Applied Intelligent Systems Lab (AISLab) at HES-SO Valais-Wallis, inparticular within the Innosuisse WISER Flagship project “The first thorough and auditable digital accounting system on GHG”. Then we will host a Q&A session focused on transferring knowledge and defining possible future research projects.

Name

First Name

Last Name

Organisation name

Organisation type

Which of these roles do you associate with, if any (multiple answers possible)?

Domain scientist or engineer (you have knowledge and understanding of your field, e.g. wind energy)

Data scientist (you are employed to analyse and interpret complex data)

Data steward (you are responsible the oversight or data governance and for ensuring the quality and fitness for purpose of the data assets, e.g. you write data management plans)

Non-technical role

Other

What other topics, people or organisations would you like to see in this webinar series in the future?

PROGRAMME (TIMES IN CET)

15:00-15:10 Introduction (Sarah Barber)

15:10-15:25 Key-note talk “WISER Flagship- the first thorough and auditable digital accounting system on GHG“

Prof. Jean-Paul Calbimonte, Applied Intelligent Systems Lab (AISLab) at HES-SO Valais-Wallis

15:25-15:50 Questions and discussion

15:50-16:00 Summary of discussion and closing (Sarah Barber)

KEY-NOTE SPEAKER:

Jean-Paul Calbimonte

Associate professor at the Applied Intelligent Systems Lab (AISLab) at HES-SO Valais-Wallis.

His research interests are currently focused on the application of AI and knowledge management techniques in healthcare use cases. He has special interest in the application of data semantics and machine learning techniques applied to data from wearables and sensing devices. Use cases include chronical diseases, diabetes, and active ageing and rehabilitation.

On the more technical aspects he has extensively worked on the use of ontology-based techniques for managing data streams, potentially coming from heterogeneous sources. Use cases include environmental sensing, social networks, pollution control, and health monitoring. Most of these works have been applied in different scientific projects, funded by the EU and national funding agencies. More details can be found here: http://jeanpi.org.

Posted in webinars-metadata