Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs
Shirly Stephen, Wenwen Li, Torsten Hahmann

TL;DR
This paper introduces a Geo-Situation framework for representing and reasoning about causality in geographic events within knowledge graphs, aiming to improve understanding of why such events occur.
Contribution
It presents a novel Geo-Situation concept linking observational snapshots to geo-events, enhancing causality modeling in geographic knowledge graphs.
Findings
Framework effectively models causality between geo-events
Enables reasoning about causes of geographic events
Supports improved geographic event analysis
Abstract
This paper proposes a framework for representing and reasoning causality between geographic events by introducing the notion of Geo-Situation. This concept links to observational snapshots that represent sets of conditions, and either acts as the setting of a geo-event or influences the initiation of a geo-event. We envision the use of this framework within knowledge graphs that represent geographic entities will help answer the important question of why a geographic event occurred.
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Taxonomy
TopicsSemantic Web and Ontologies · Geographic Information Systems Studies · Data Management and Algorithms
