Construction of bilingual knowledge graph based on meteorological simulation

Abstract

Geography has characteristics such as regionality, comprehensiveness and complexity. Exploring its core connotations is an important way for geography to break through in the new era (Chen et al., 2021). To simulate and explore such a complex system, geographic models are becoming a key method of geographic environment research. Geographic analysis models are also widely employed to mirror real phenomena and processes on Earth . Virtual geographic environments (VGEs) based on dynamic geographic models are being

Knowledge‐driven spatial competitive intelligence for tourism

“…Based on the constructed Geo‐KGs, there are two application modes tailored to a diverse array of downstream tasks. First, the symbolic Geo‐SPARQL query language is developed to support efficient implementation of subsequent geoscience models in a relatively straightforward way, including meteorological simulation (Wang, Zhang, et al., 2022), forest fire risk prediction (Ge et al., 2022), and visual supervision of large‐scope heat source factories (Lai et al., 2023). The second mode involves sub‐symbolic distributed reasoning of Geo‐KGs (Mai, Hu, et al., 2022), drawing inspiration from SOTA KGE and GNN models.…”