Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs
Artificial Intelligence
2022-06-29 v1
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.
Keywords
Cite
@article{arxiv.2206.13658,
title = {Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs},
author = {Shirly Stephen and Wenwen Li and Torsten Hahmann},
journal= {arXiv preprint arXiv:2206.13658},
year = {2022}
}