Creating Knowledge Graphs for Geographic Data on the Web
February 17, 2023 Β· Declared Dead Β· π SIGWEB Newsl.
"No code URL or promise found in abstract"
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Authors
Elena Demidova, Alishiba Dsouza, Simon Gottschalk, Nicolas Tempelmeier, Ran Yu
arXiv ID
2302.08823
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.DB,
cs.IR
Citations
4
Venue
SIGWEB Newsl.
Last Checked
4 months ago
Abstract
Geographic data plays an essential role in various Web, Semantic Web and machine learning applications. OpenStreetMap and knowledge graphs are critical complementary sources of geographic data on the Web. However, data veracity, the lack of integration of geographic and semantic characteristics, and incomplete representations substantially limit the data utility. Verification, enrichment and semantic representation are essential for making geographic data accessible for the Semantic Web and machine learning. This article describes recent approaches we developed to tackle these challenges.
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