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.
| Original language | English |
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| Publication status | Published - 2021 |
| Event | 12th Workshop on Ontology Design and Patterns, WOP 2021 - Virtual, Online Duration: 24 Oct 2021 → … |
Conference
| Conference | 12th Workshop on Ontology Design and Patterns, WOP 2021 |
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| City | Virtual, Online |
| Period | 24/10/21 → … |
Bibliographical note
Funding Information:Acknowledgements. The authors acknowledge support by the National Science Foundation under Grant 2033521 A1: KnowWhereGraph: Enriching and Linking Cross-Domain Knowledge Graphs using Spatially-Explicit AI Technologies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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