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This dataset is used for benchmarking five spatially-enabled RDF stores, i.e. RDF4J, GeoSPARQL-Jena, VIrtuoso, Stardog, and GraphDB. It can also be used for further testing other stores or the upgraded stores. The dataset is GeoSPARQL-compliant and has 1,068 spatial objects (including 88 polygons, 853 polylines, and 127 points).
@misc{https://doi.org/10.18160/9d9w-wt2p,
doi = {10.18160/9D9W-WT2P},
url = {https://meta.icos-cp.eu/objects/Hc6s-NZnl51d6JjlFAC-_9Vy},
author = {Mirzov, Oleg and Huang, Weiming and Raza, Syed Amir},
keywords = {Earth Science, Geographic Information Science, Computer Science, Database},
title = {ICOS-CP metadata used for RDF store benchmarking},
publisher = {ICOS Carbon Portal},
year = {2019},
copyright = {Creative Commons Attribution 4.0 International}
}
TY - DATA T1 - ICOS-CP metadata used for RDF store benchmarking AU - Mirzov, Oleg AU - Huang, Weiming AU - Raza, Syed Amir DO - 10.18160/9D9W-WT2P UR - https://meta.icos-cp.eu/objects/Hc6s-NZnl51d6JjlFAC-_9Vy AB - This dataset is used for benchmarking five spatially-enabled RDF stores, i.e. RDF4J, GeoSPARQL-Jena, VIrtuoso, Stardog, and GraphDB. It can also be used for further testing other stores or the upgraded stores. The dataset is GeoSPARQL-compliant and has 1,068 spatial objects (including 88 polygons, 853 polylines, and 127 points). KW - Earth Science KW - Geographic Information Science KW - Computer Science KW - Database PY - 2019 PB - ICOS Carbon Portal ER -