| Issue |
E3S Web Conf.
Volume 506, 2024
The 1st International Symposium on Environmental and Energy Policy (ISEEP 2023)
|
|
|---|---|---|
| Article Number | 10002 | |
| Number of page(s) | 7 | |
| Section | Sustainable Development Framework and Policy | |
| DOI | https://doi.org/10.1051/e3sconf/202450610002 | |
| Published online | 25 March 2024 | |
Linked open data for agricultural land evaluation
Universitas Gadjah Mada, Sleman, Yogyakarta, Indonesia
* Corresponding author: charitas.fibriani@mail.ugm.ac.id
The government has programs that related to food independence which can be achieved by optimizing agricultural data analysis as decision support. The analysis requires a combination of several data but these data are in different sources and formats. Linked Open Data (LOD) is the answer, it makes the interconnectedness of all data that be needed, the interconnected data can be used for the next process in land evaluation. Land evaluation has 2 activities: land characteristics, and land quality. This research focus on designing a prototype of a land evaluation system model based on linked open data. There are 12 data sources that will be used for this land evaluation. The datas are spatial data which have longitude and latitude. In addition, any 2 types of data that be used text and geojson. The linked between these attributes from many sources and was using LOD’s consept creates a relationship terminology.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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