An Event Ontology Model Research for Environmental Pollution Emergencies

Sha Wang, Qiong Peng and Hua Liang
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Sha Wang: Hunan International Economics University, China
Qiong Peng: Hunan International Economics University, China
Hua Liang: Hunan International Economics University, China

International Journal of Ambient Computing and Intelligence (IJACI), 2020, vol. 11, issue 4, 38-56

Abstract: In the modeling process, event ontology design pattern (EODP) is a solution to recurring the same error scheme. It can speed up the construction of event ontology and avoid design ambiguity. A general event model structure is proposed in this paper. In the absence of domain-specific vocabulary, the model structure can represent the most general event information in web text. Based on this, the concept of event ontology mode and the method of extracting event ontology mode are proposed, and the method is used to establish the environmental pollution emergency ontology mode based on shared vocabulary. Finally, the ontology model of environmental pollution emergencies was formalized by using description logic, and the domain event ontology model was implemented by using the event ontology model to verify its validity and conceptual consistency.

Date: 2020
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