Disaster Prevention Virtual Advisors Through Soft Sensor Paradigm

  • Agnese AugelloEmail author
  • Umberto Maniscalco
  • Giovanni Pilato
  • Filippo Vella
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 55)


In this paper we illustrate the architecture of an intelligent advisor agent aimed at limiting, or as far as possible preventing, the damages caused by catastrophic events, such as floods and landslides. The agent models the domain and makes forecasting by exploiting both ontology models and belief network models. Furthermore, it uses a monitoring network to recommend preventive measures and giving alerts, if necessary, before that the event happens. The monitoring network can be implemented through both physical and soft sensors: this choice makes the measurements more adequate and available also in case of failure of some of the physical sensors. The front-end of the agent is made by a chat-bot, capable to interact with human users using natural language.


Decision support systems Intelligent conversational agents Soft sensors 



We would like to thank Emanuele Cipolla and Dario Stabile for their work in the set up of the visualization system and the collection of the data inside the activities for the systems able to filter data and process information for environmental multi risk analysis.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Agnese Augello
    • 1
    Email author
  • Umberto Maniscalco
    • 1
  • Giovanni Pilato
    • 1
  • Filippo Vella
    • 1
  1. 1.Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR (CNR)PalermoItaly

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