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Distributed and Self-organizing Systems
Distributed and Self-organizing Systems

PUBLICATION

Dynamic Representations of Global Crises: Creation And Analysis of a Temporal Knowledge Graph For Conflicts, Trade and Value Networks

Type

Conference Paper

Year

2023

Authors

Julia Gastinger

Julia Gastinger

Nils Steinert

Nils Steinert

gruender-fahrer

Michael Martin

Michael Martin

Research Area

Web Engineering

Event

Second International Workshop on Linked Data-driven Resilience Research (D2R2’23) co-located with ESWC 2023

Published in

Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023)

Download

pdf

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). Combining data from the Armed Conflict Location & Event Data Project (ACLED) and Global Trade Alerts (GTA), the tKG provides a comprehensive view of the intersection between worldwide crises and global trade over time. The paper details the process of creating the tKG, including the aggregation and merging of information from multiple sources. Additionally, the paper offers insights into the analysis of the tKG and its potential applicability to data-driven Resilience Research. As an initial application, the tKG can be used to predict global trade events, such as trade sanctions across various categories and countries, based on global conflict events, to identify potential trade disruptions and anticipate the economic impact of global conflicts.

Reference

Gastinger, Julia; Steinert, Nils; Gründer-Fahrer, Sabine; Martin, Michael: Dynamic Representations of Global Crises: Creation And Analysis of a Temporal Knowledge Graph For Conflicts, Trade and Value Networks. Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), pp. 11, 2023.



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