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AIR_POLLUTION_Onto: an Ontology for Air Pollution Analysis and Control

  • Mihaela M. Oprea
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 296)

Abstract

The paper describes an ontology for air pollution analysis and control, AIR_POLLUTION_Onto, and presents its use in two case studies, an expert system, and a multiagent system, both dedicated to monitoring and control of air pollution in urban regions.

Keywords

Expert System Multiagent System Urban Region Ontology Mapping Maximum Admissible Concentration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Mihaela M. Oprea
    • 1
  1. 1.Department of InformaticsUniversity Petroleum-Gas of PloiestiPloiestiRomania

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