Merge Gastinger 2024 Dynamic Representations of Global Crises

aksw.bib

@@ -12574,4 +12574,14 @@ @SEMANTICS 2024
   url      = {https://arxiv.org/pdf/2409.05925},
 }
 
+@InProceedings{gastinger2024dynamic,
+  author    = {Julia Gastinger and Timo Sztyler and Nils Steinert and Sabine Gr{\"u}nder-Fahrer and Michael Martin and Anett Schuelke and Heiner Stuckenschmidt},
+  booktitle = {The Third Learning on Graphs Conference},
+  title     = {Dynamic Representations of Global Crises: A Temporal Knowledge Graph For Conflicts, Trade and Value Networks},
+  year      = {2024},
+  abstract  = {This paper presents a novel approach to understanding global crises and trade patterns through the creation and analysis of a Temporal Knowledge Graph (TKG), and the application of Temporal Knowledge Graph Forecasting. Combining data from the Armed Conflict Location & Event Data Project (ACLED) and Global Trade Alerts (GTA), the TKG offers a comprehensive view of the intersection between worldwide crises and global trade over time. We detail the process of TKG creation, including the aggregation and merging of information from multiple sources. Furthermore, we conduct a detailed analysis of the TKG, providing insights into its potential applicability to data-driven Resilience Research. Leveraging the constructed TKG, we predict global trade events, such as trade sanctions across various categories and countries, and conflict events, such as worldwide military actions, to identify potential trade disruptions and anticipate the economic impact of global conflicts. To achieve this, state-of-the-art models for TKG Forecasting are applied and rigorously evaluated, contributing to a deeper understanding of the complex relationship between global crises and trade dynamics.},
+  keywords  = {group_aksw sys:relevantFor:infai es martin},
+  url       = {https://svn.aksw.org/papers/2024/LoG_dynamic-representations-global-crises/public.pdf},
+}
+
 @Comment{jabref-meta: databaseType:bibtex;}