SEONT: Agricultural Household Survey Ontology
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 extrac...
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| Format: | Informe técnico |
| Language: | Inglés |
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2020
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| Online Access: | https://hdl.handle.net/10568/122934 |
| _version_ | 1855534100008402944 |
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| author | CGIAR Platform for Big Data in Agriculture |
| author_browse | CGIAR Platform for Big Data in Agriculture |
| author_facet | CGIAR Platform for Big Data in Agriculture |
| author_sort | CGIAR Platform for Big Data in Agriculture |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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 |
| format | Informe técnico |
| id | CGSpace122934 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| record_format | dspace |
| spelling | CGSpace1229342023-03-14T12:13:00Z SEONT: Agricultural Household Survey Ontology CGIAR Platform for Big Data in Agriculture rice development rural development data adoption systems agrifood systems extraction ontologies variety 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 2020-12-31 2022-10-06T14:13:50Z 2022-10-06T14:13:50Z Report https://hdl.handle.net/10568/122934 en Open Access application/pdf 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. |
| spellingShingle | rice development rural development data adoption systems agrifood systems extraction ontologies variety CGIAR Platform for Big Data in Agriculture SEONT: Agricultural Household Survey Ontology |
| title | SEONT: Agricultural Household Survey Ontology |
| title_full | SEONT: Agricultural Household Survey Ontology |
| title_fullStr | SEONT: Agricultural Household Survey Ontology |
| title_full_unstemmed | SEONT: Agricultural Household Survey Ontology |
| title_short | SEONT: Agricultural Household Survey Ontology |
| title_sort | seont agricultural household survey ontology |
| topic | rice development rural development data adoption systems agrifood systems extraction ontologies variety |
| url | https://hdl.handle.net/10568/122934 |
| work_keys_str_mv | AT cgiarplatformforbigdatainagriculture seontagriculturalhouseholdsurveyontology |