Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data
Heterogeneous and multidisciplinary data are generated by research on sustainable global agriculture and agri-food systems. This data is analysed and often integrated into predictive models for climate change or decision-making tools for fisheries management and aquaculture production. WorldFish (CG...
| Main Authors: | , , , |
|---|---|
| Format: | Ponencia |
| Language: | Inglés |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/127510 |
| _version_ | 1855541373538664448 |
|---|---|
| author | Arnaud, Elizabeth Laporte, Marie-Angélique Delamare-Deboutteville, Jerome Tilley, Alexander |
| author_browse | Arnaud, Elizabeth Delamare-Deboutteville, Jerome Laporte, Marie-Angélique Tilley, Alexander |
| author_facet | Arnaud, Elizabeth Laporte, Marie-Angélique Delamare-Deboutteville, Jerome Tilley, Alexander |
| author_sort | Arnaud, Elizabeth |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Heterogeneous and multidisciplinary data are generated by research on sustainable global agriculture and agri-food systems. This data is analysed and often integrated into predictive models for climate change or decision-making tools for fisheries management and aquaculture production. WorldFish (CGIAR) research aims to improve the sustainability, productivity and resilience of aquatic food systems. Harmonising the labelling of aquatic foods data with controlled vocabularies will enable easier data aggregation, interpretation, and analysis.
The Fisheries and Aquaculture Ontology Working Group was formed in 2019 to compile, update and contribute fishery related terms to existing controlled vocabularies. The objective is to improve the WorldFish data interoperability into the various projects, databases and repositories by (a) addressing inconsistent use of fisheries and aquaculture related terms across the datasets, (b) highlighting the missing terms in the main semantic resources, and (c) connecting and collaborating with the CGIAR Community of Practice for Ontology.
An ontology is a standardised representation of the definitions and relationships of data from a specific discipline. Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. |
| format | Ponencia |
| id | CGSpace127510 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | dspace |
| spelling | CGSpace1275102024-03-06T10:16:43Z Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data Arnaud, Elizabeth Laporte, Marie-Angélique Delamare-Deboutteville, Jerome Tilley, Alexander fish ontologies access to information pescado ontología acceso a la información-acceso a datos Heterogeneous and multidisciplinary data are generated by research on sustainable global agriculture and agri-food systems. This data is analysed and often integrated into predictive models for climate change or decision-making tools for fisheries management and aquaculture production. WorldFish (CGIAR) research aims to improve the sustainability, productivity and resilience of aquatic food systems. Harmonising the labelling of aquatic foods data with controlled vocabularies will enable easier data aggregation, interpretation, and analysis. The Fisheries and Aquaculture Ontology Working Group was formed in 2019 to compile, update and contribute fishery related terms to existing controlled vocabularies. The objective is to improve the WorldFish data interoperability into the various projects, databases and repositories by (a) addressing inconsistent use of fisheries and aquaculture related terms across the datasets, (b) highlighting the missing terms in the main semantic resources, and (c) connecting and collaborating with the CGIAR Community of Practice for Ontology. An ontology is a standardised representation of the definitions and relationships of data from a specific discipline. Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis. 2022-09-05 2023-01-19T08:59:55Z 2023-01-19T08:59:55Z Presentation https://hdl.handle.net/10568/127510 en Open Access application/vnd.openxmlformats-officedocument.presentationml.presentation Arnaud, E.; Laporte, M.A.; Delamare-Boutteville, J.; Tilley, A. (2022) Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data. Fishbase and SeaLifeBase Symposium, 5 September 2022 13 slides |
| spellingShingle | fish ontologies access to information pescado ontología acceso a la información-acceso a datos Arnaud, Elizabeth Laporte, Marie-Angélique Delamare-Deboutteville, Jerome Tilley, Alexander Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data |
| title | Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data |
| title_full | Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data |
| title_fullStr | Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data |
| title_full_unstemmed | Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data |
| title_short | Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data |
| title_sort | small scale fisheries and aquaculture ontology ssfo labeling fish science data |
| topic | fish ontologies access to information pescado ontología acceso a la información-acceso a datos |
| url | https://hdl.handle.net/10568/127510 |
| work_keys_str_mv | AT arnaudelizabeth smallscalefisheriesandaquacultureontologyssfolabelingfishsciencedata AT laportemarieangelique smallscalefisheriesandaquacultureontologyssfolabelingfishsciencedata AT delamaredebouttevillejerome smallscalefisheriesandaquacultureontologyssfolabelingfishsciencedata AT tilleyalexander smallscalefisheriesandaquacultureontologyssfolabelingfishsciencedata |