dc.date | 2021-02-12T21:13:41Z | |
dc.date | 2021-02-12T21:13:41Z | |
dc.date | 2020 | |
dc.date.accessioned | 2023-07-17T20:07:01Z | |
dc.date.available | 2023-07-17T20:07:01Z | |
dc.identifier | https://hdl.handle.net/10883/21255 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7513041 | |
dc.description | Convention: Digital Dynamism for Adaptive Food Systems, 19-23 October 2020. During this cross-CoP meeting with the Socio-economic data CoP we learnt about the advancements of the SEONT ontology, the extraction of concepts for SEONT using Machine Learning, discovered OIMS and discussed how to integrate these elements with RHoMIS. | |
dc.description | Presentations: The progress of socio-economic ontology; Machine LEarning Extraction of the Concepts; OIMS and Rural Household Multi Indicator Survey (RHoMIS): link to ontology work in the Big Data Platform. | |
dc.description | Céline Aubert | |
dc.description | Soohno Kim | |
dc.description | Xingyi Song | |
dc.description | Gideon Kruseman | |
dc.description | Mark van Wijk | |
dc.description | Elizabeth Arnaud | |
dc.description | Video also available in YouTube: https://www.youtube.com/watch?v=9Mh-puDJYSY | |
dc.description | 97:11 min. | |
dc.format | MP4 | |
dc.language | English | |
dc.publisher | CGIAR Plataform for Big Data in Agriculture | |
dc.rights | Open Access | |
dc.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. | |
dc.subject | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY | |
dc.subject | ONTOLOGY | |
dc.subject | MACHINE LEARNING | |
dc.subject | DATA | |
dc.title | RHoMIS, SEONT and OIMS: how do we progress and digitally connect these elements? | |
dc.type | Video | |
dc.type | Accepted Version | |
dc.coverage | France | |