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An Event Ontology Model Research for Environmental Pollution Emergencies

Author

Listed:
  • Sha Wang

    (Hunan International Economics University, China)

  • Qiong Peng

    (Hunan International Economics University, China)

  • Hua Liang

    (Hunan International Economics University, China)

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.

Suggested Citation

  • Sha Wang & Qiong Peng & Hua Liang, 2020. "An Event Ontology Model Research for Environmental Pollution Emergencies," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 11(4), pages 38-56, October.
    • Handle: RePEc:igg:jaci00:v:11:y:2020:i:4:p:38-56
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    Cited by:

    1. Soumi Majumder & Soumyajit Majumder & Debasish Biswas, 2022. "Impact of effective construction planning in project performance improvement," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2253-2264, August.

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