Knowledge graph of alpine skiing events: A focus on meteorological conditions

• Published in: PloS one Vol. 17; no. 9; p. e0274164
• Main Authors: Tang, Wei, Zhang, Xueying, Feng, Deen, Wang, Yipeng, Ye, Peng, Qu, Hanhua
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 21.09.2022; Public Library of Science (PLoS)
• Subjects: Alpine environments; Big Data; Biology and Life Sciences; Computer and Information Sciences; Data analysis; Decision analysis; Decision making; Downhill skiing; Dynamic characteristics; Earth Sciences; Environmental aspects; Events planning; Humidity; Influence; Knowledge acquisition; Knowledge bases (artificial intelligence); Knowledge representation; Logic; Meteorological conditions; Olympic games; Ontology; Paralympic Games; Precipitation; Resource Description Framework-RDF; Risk management; Semantic web; Semantics; Skiing; Snow; Social Sciences; Weather; China

Alpine skiing, as an outdoor winter sport, is particularly vulnerable to the variation of meteorological conditions. Scattered and multi-source big data cannot be fully utilized to conduct effective decision analyses by conventional data analysis methods. Presently, knowledge graphs are the most adv...