| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | en_US |
| dc.date.accessioned | 2022-10-06T14:13:50Z | en_US |
| dc.date.available | 2022-10-06T14:13:50Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/122934 | en_US |
| dc.title | SEONT: Agricultural Household Survey Ontology | en_US |
| dcterms.abstract | A first module of the SEONT ontology was developed based on the extraction of concepts and variables from the '100 core questions' and from reference existing ontologies. A study case was performed with IRRI survey data about rice variety adoption to test SEONT content and validate ML concept extraction algorithm | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | CGIAR Platform for Big Data in Agriculture. 2020. SEONT: Agricultural Household Survey Ontology. Reported in Platform for Big Data in Agriculture Annual Report 2020. Innovations. | en_US |
| dcterms.isPartOf | CRP Innovation | en_US |
| dcterms.issued | 2020-12-31 | en_US |
| dcterms.language | en | en_US |
| dcterms.license | Other | en_US |
| dcterms.subject | rice | en_US |
| dcterms.subject | development | en_US |
| dcterms.subject | rural development | en_US |
| dcterms.subject | data | en_US |
| dcterms.subject | adoption | en_US |
| dcterms.subject | systems | en_US |
| dcterms.subject | agrifood systems | en_US |
| dcterms.subject | extraction | en_US |
| dcterms.subject | ontologies | en_US |
| dcterms.subject | variety | en_US |
| dcterms.type | Report | en_US |
| cg.contributor.crp | Big Data | en_US |
| cg.number | IN-1102 | en_US |
