Linked Data on Geo-annotated Events and Use Cases for the Resilience of Ukraine

TL;DR

This paper presents a pipeline for converting and enriching datasets about damaging events in Ukraine into Linked Data, enabling integrated analysis for resilience efforts amid ongoing conflict.

Contribution

It introduces a method to convert and enrich geo-annotated event datasets into Linked Data and an algorithm for detecting identical events across sources.

Findings

Created a dataset of 10,000 damage events in Ukraine.

Demonstrated use cases for resilience planning.

Enabled integration of multiple data sources for conflict analysis.

Abstract

The mission of resilience of Ukrainian cities calls for international collaboration with the scientific community to increase the quality of information by identifying and integrating information from various news and social media sources. Linked Data technology can be used to unify, enrich, and integrate data from multiple sources. In our work, we focus on datasets about damaging events in Ukraine due to Russia's invasion between February 2022 and the end of April 2023. We convert two selected datasets to Linked Data and enrich them with additional geospatial information. Following that, we present an algorithm for the detection of identical events from different datasets. Our pipeline makes it easy to convert and enrich datasets to integrated Linked Data. The resulting dataset consists of 10K reported events covering damage to hospitals, schools, roads, residential buildings, etc. Finally, we demonstrate in use cases how our dataset can be applied to different scenarios for resilience purposes.