SEONT: Semantics & mapping exercise to add structure to messy socio-economic data
Type:
Title:
SEONT: Semantics & mapping exercise to add structure to messy socio-economic data; Webinar- SEONT, the Socio-Economic Ontology
Corporate author:
CGIAR Platform for Big Data in Agriculture
Year:
2020
Alternative Title:
Webinar- SEONT, the Socio-Economic Ontology
Place of Publication:
France
Publisher:
CGIAR Platform for Big Data in Agriculture
Access Rights:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International § CIMMYT manages Intellectual Assets as International Public Goods. In case you want to make non-exclusive commercial use of this item or you want to adapt it in any manner and use such adaptation, please contact cimmyt-knowledge-center@cgiar.org indicating the code/name of this item and the kind of use you intend; CIMMYT will contact you with the terms and conditions for such use.
Citation:
SEONT: Semantics & mapping exercise to add structure to messy socio-economic data. 2020. CGIAR Platform for Big Data in Agriculture.
Notes:
Video also available in YouTube: https://youtu.be/gGqTIN4Cx0Q
Files in this item
- Name:
- Webinar- SEONT, the Socio-Economic Ontology.mp4
- Size:
- 160.2Mb
- Format:
- video/mp4
- Descripción:
- ...