Date and Time: 29th July 2020 - 13:00 CEST (11:00 UTC)
Presenter: Jane Wyngaard (University of Notre Dame)
Description
Big data is now arriving from every device driven by advances in low power wireless networking, new edge computing architectures, and sensor miniaturization. Drones are a significant component of this. How these high velocity, high variety, cumulatively high volume, and ranging veracity (4 Vs of Big Data) are being managed and mined from thousands of low power sensors is evolving rapidly. LANDRS (Linked data and Networked DRoneS) is pushing the edge of this evolving stack, particularly for environmental sensing using Drones. But we are doing so in a manner that is reusing and aligning with existing technologies and standards where possible, and defining tooling where need be that will easily serve parallel domains too. This webinar will describe:
- The need for smarter sensor data management tooling for data capture drones (and other edge sensors) in scientific data capture.
- A cookie cutter tool stack for developing ontologies to serve your use case using test driven development, continuous integration, and Git.
- The multi-layered value of such an ontology through its application in an application (DroneDataBuddy) for execution onboard a drone.
How to register
Please register using the following link: https://m7.mailplus.nl/wpSifc66AexN-1042-370649-test-1
Any questions/further information please email: p.m.martinezlavanchy@tudelft.nl (IG-RDMinEng)