Abstract
In this paper, we discuss how we are using metadata schemas and controlled vocabularies to improve interoperability between Brazilian agriculture and livestock trading data providers. A new metadata schema is being created based on a community-based approach. This method relies on knowledge from specialists to define a list of relevant metadata properties for a given domain. In the first step of the research, we extracted metadata from three datasets maintained by three Brazilian public institutions: the Center for Advanced Studies in Applied Economics (Cepea), the Institute of Applied Economic Research (Ipea), and The National Supply Company (Conab). The extracted metadata were the input to the definition of a list of 15 potential metadata properties that specialists are validating.
Original language | English |
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Title of host publication | SEMPDW 2022 |
Publication status | Published - 2022 |
Event | 18th International Conference on Semantic Systems, SEMANTiCS 2022 - Vienna, Austria Duration: 12 Sep 2022 → 15 Sep 2022 Conference number: 18 |
Publication series
Name | CEUR workshop proceedings |
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Publisher | Rheinisch Westfälische Technische Hochschule |
Volume | 3235 |
ISSN (Print) | 1613-0073 |
Conference
Conference | 18th International Conference on Semantic Systems, SEMANTiCS 2022 |
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Abbreviated title | SEMANTiCS 2022 |
Country/Territory | Austria |
City | Vienna |
Period | 12/09/22 → 15/09/22 |
Keywords
- Agriculture
- FAIR data principles
- livestock
- metadata
- trading data