A Pattern for Modeling Causal Relations Between Events

Authors

Cogan Shimizu, Wright State University - Main CampusFollow
Rui Zhu, Natl. Ctr. Ecol. Anal. and Synthesis
Gengchen Mai, Natl. Ctr. Ecol. Anal. and Synthesis
Mark Schildhauer, Center for Spatial Studies
Krzysztof Janowicz, Natl. Ctr. Ecol. Anal. and Synthesis
Pascal Hitzler, Data Semantics Laboratory

Document Type

Conference Proceeding

Publication Date

2021

Abstract

Space and time are useful nexuses for integrating data. For instance, events affect the places in which they occur and the people that participate in them. By capturing the effects that they may have on a place, coupled with authoritative sources on possible causality between types of events, we can model causal relations between events. In this paper we present an ontology design pattern for modeling the causal relations between events, discuss the primary conceptual components, how they may be instantiated, and present overarching examples related to the domain of disaster risk management.

Comments

This work is licensed under CC BY 4.0

Repository Citation

Shimizu, C., Zhu, R., Mai, G., Schildhauer, M., Janowicz, K., & Hitzler, P. (2021). A Pattern for Modeling Causal Relations Between Events. CEUR Workshop Proceedings, 3011.
https://corescholar.libraries.wright.edu/cse/729