Fibriani, Charitas and Ashari, Ahmad and Riasetiawan, Mardhani (2023) Linked Open Spatial Data for Evaluation of Land Suitability. Journal of Theoretical and Applied Information Technology, 101 (6). pp. 2082-2090. ISSN 19928645
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Abstract
The agricultural land evaluation analysis is obtained from several factors, such as: Nutrients, Erosion hazard,
temperature, flood hazard, and root media, in which the data are from various sources. The principle of Linked
Open Data (LOD) is data can be accessed by anyone and from anywhere. The spatial data are needed for the
evaluation of land suitability are connected using the longitude and latitude, information will be obtained
related to soil type, andesite material, texture, relief, landform, slope, rock condition in the soil, drainage
conditions, soil depth, water absorption on the soil surface and soil consistency at that point which comes
from 7 different data sources. The contribution of this research is to identify the vocabulary data used for
land suitability that came from several sources and connecting the Uniform Resource Name (URI) is owned
by these sources using LOD in semantic web.
Item Type: | Article |
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Additional Information: | Library Dosen |
Uncontrolled Keywords: | Linked Open Data, Spatial Data, Information Intelligent, Semantic Web, Land Suitability |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department |
Depositing User: | Masrumi Fathurrohmah |
Date Deposited: | 11 Jul 2024 02:46 |
Last Modified: | 11 Jul 2024 02:46 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/2706 |