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Creating and validating emergency management services by social simulation and semantic web technologies

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Creating and validating emergency management services
by social simulation and semantic web technologies

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Creating and validating emergency management services by social simulation and semantic web technologies

  1. 1. Creating and validating emergency management services by social simulation and semantic web technologies December 2014 http://gsi.dit.upm.es Geovanny Poveda, Emilio Serrano, Mercedes Garijo Intelligent Systems Group Technical University of Madrid http://www.gsi.dit.upm.es
  2. 2. Outline • Outline.  Quick overview about emergency plans.  Current Shortcomings / Motivation.  A semantic knowledge model for the ad-hoc emergency simulation model.  A case study for the semantic emergency knowledge model.  EscapeSim  Conclusions. http://gsi.dit.upm.es
  3. 3. Overview I • Why are the emergency plans important? http://gsi.dit.upm.es  Madrid Arena 2012 (5) Brazil 2012 (233).
  4. 4. Overview II • Emergency plan - Validation Traditionally plans have been validated by using drills. Shortcomings:  Do not covering crowd conditions  Cost of deployment  Reliable? Solution:  Computer based simulation (CBS)  Ambient Intelligence scenarios (AmI)  Reliable? http://gsi.dit.upm.es
  5. 5. Overview III • Emergency plan – Validation CBS Features:  Controls of variables and parameters of experiment  Cost of deployment  CBS models are based on Agent Based Social Models (ABBS) AmI Features:  Support collaboration between devices, services and people  Improve the collaboration and coordination strategy for emergencies http://gsi.dit.upm.es
  6. 6. Overview IV • Emergency plan - Validation  In a large numbers of research projects and ABSS platforms emergency evacuation is a recurrent topic. Shortcomings:  ABSS are usually “closed” and for specific “domains”. Models cannot be parameterized.  Some inherent human behaviours and emergent features cannot be tested in living labs. http://gsi.dit.upm.es
  7. 7. Shortcomings / Motivation  There is a need for creating abstract mechanisms for simulating emergency plans . Features:  To include declarative forms of knowledge representation.  To support knowledge sharing and reuse mechanisms.  Propose domain specific semantic models as a basis for construction the emergency plans. http://gsi.dit.upm.es
  8. 8. Semantic knowledge emergency models • Features  Models based on Ontology Domain Simulation approach.  Enable sharing and reusing knowledge among applications and humans.  Enable reasoning features for checking model consistency and augmented inferences in the case of AmI services.  Provide an abstract layer between AmI services and environment  Simulated or real http://gsi.dit.upm.es
  9. 9. Semantic knowledge emergency model - Architecture http://gsi.dit.upm.es
  10. 10. A case study for Semantic knowledge emergency model I • A simulation scenario  We have adapted some functions on EscapeSim for evaluating the proposed architecture. Features: Provides an auto-assisted design wizard utility for building emergency simulation scenarios by applying reasoning capabilities for checking model consistency and adaptation features. i) Verification and validation process. ii) Adaptation process. http://gsi.dit.upm.es
  11. 11. A case study for Semantic knowledge emergency model II An ontology is the base for the emergency plan, the AmI service, and the simulation…
  12. 12. A case study for Semantic knowledge emergency model III “Ontologies for Smart Homes and Energy Management: an Implementation-driven Survey” …so it can be easily shared and extended.
  13. 13. A case study for Semantic knowledge emergency model IV A concrete simulation can be instantiated from the ontology…
  14. 14. …and the semantic reasoner can guide the modelling
  15. 15. EscapeSim I • EscapeSim • Is a library for UbikSim. Its aim is to simulate and validate evacuation plans on emergency situations. • EscapeSim enables:  To model user environments, which are based on Ambient intelligence concepts (AmI).  To model agents with emergent emergency behaviours.  It is Free and open-source software https://github.com/gsi-upm/EscapeSim/ http://gsi.dit.upm.es
  16. 16. EscapeSim II • Not only extensible but usable Understanding more important than prediction
  17. 17. Conclusions • By applying this approach, the experience on the development and design process is enhanced by allowing  To be assisted step by step with the construction of emergency simulation  To extend and reuse simulation models concepts by using portable RDF emergency simulation resources.  Designers can contribute to new features on the emergency simulation model without start from scratch.  More in: Towards a Holistic Framework for the Evaluation of Emergency Plans in Indoor Environments. In: Sensors, 14 (3), pp. 4513–4535, 2014, ISSN: 1424-8220, (Impact factor 2013, 2.048, Q1). http://gsi.dit.upm.es
  18. 18. Questions? {gpoveda,eserrano,mga}@dit.upm.es Thanks!! Belfast – UK 2014 dit.upm.es

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