OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology
Plant stress traits are important breeding targets for all crop species. Massive amounts of research dollars are spent generating data to combat plant diseases and environmental stress. Often this data is used to achieve a single goal, and then left in a repository to never be used again. As a scien...
| Autores principales: | , , , , , , |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/100810 |
| _version_ | 1855518293893316608 |
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| author | Meier A. Laporte, Marie-Angélique Elser J. Cooper L. Preece, J. Jaiswal, P. Poolen, J. |
| author_browse | Cooper L. Elser J. Jaiswal, P. Laporte, Marie-Angélique Meier A. Poolen, J. Preece, J. |
| author_facet | Meier A. Laporte, Marie-Angélique Elser J. Cooper L. Preece, J. Jaiswal, P. Poolen, J. |
| author_sort | Meier A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Plant stress traits are important breeding targets for all crop species. Massive amounts of research dollars are spent generating data to combat plant diseases and environmental stress. Often this data is used to achieve a single goal, and then left in a repository to never be used again. As a scientific community, we should be striving to make all publicly funded data reusable, and interoperable. This goal is achievable only through careful annotation using universal data and metadata standards. One such standard is the use of a standardized vocabulary, or ontology. This paper presents a semi-automated method to define and label plant stresses using a combination of web scraping and ontology design patterns. Standardizing the definitions and linking plant stress with established hierarchies leverages previous work of developed knowledge bases such as taxonomic classifications and other ontologies. |
| format | Conference Paper |
| id | CGSpace100810 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | CGSpace1008102025-11-05T07:49:42Z OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology Meier A. Laporte, Marie-Angélique Elser J. Cooper L. Preece, J. Jaiswal, P. Poolen, J. open data ontology plant pathology nutrient deficiencies standard vocabulary automation data processing crops stress Plant stress traits are important breeding targets for all crop species. Massive amounts of research dollars are spent generating data to combat plant diseases and environmental stress. Often this data is used to achieve a single goal, and then left in a repository to never be used again. As a scientific community, we should be striving to make all publicly funded data reusable, and interoperable. This goal is achievable only through careful annotation using universal data and metadata standards. One such standard is the use of a standardized vocabulary, or ontology. This paper presents a semi-automated method to define and label plant stresses using a combination of web scraping and ontology design patterns. Standardizing the definitions and linking plant stress with established hierarchies leverages previous work of developed knowledge bases such as taxonomic classifications and other ontologies. 2018 2019-04-16T13:30:23Z 2019-04-16T13:30:23Z Conference Paper https://hdl.handle.net/10568/100810 en Open Access application/pdf Meier A.; Laporte M-A.; Elser J.; Cooper L.; Preece J.; Jaiswal P.; Poolen J. (2018) OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology. In: Jaiswal P.; Cooper, L.; Haendel, M.A.; Mungall, C.J. (eds.) International Conference on Biological Ontology (ICBO 2018), Proceedings of the 9th International Conference on Biological Ontology, Corvallis, Oregon, USA, August 7-10, 2018, 4 p. ISSN: 1613-0073 |
| spellingShingle | open data ontology plant pathology nutrient deficiencies standard vocabulary automation data processing crops stress Meier A. Laporte, Marie-Angélique Elser J. Cooper L. Preece, J. Jaiswal, P. Poolen, J. OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology |
| title | OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology |
| title_full | OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology |
| title_fullStr | OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology |
| title_full_unstemmed | OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology |
| title_short | OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology |
| title_sort | oops the ontology of plant stress a semi automated standardization methodology |
| topic | open data ontology plant pathology nutrient deficiencies standard vocabulary automation data processing crops stress |
| url | https://hdl.handle.net/10568/100810 |
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