Ontology-based Modelling and Reasoning for Forest Fire Emergencies in Resilient Societies-Reference-Cited by-同舟云学术

Ontology-based Modelling and Reasoning for Forest Fire Emergencies in Resilient Societies

Published:2022-09-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th Hellenic Conference on Artificial Intelligence
language:
Short-container-title:

Author:

Masa Panagiota¹,Meditskos Georgios²,Kintzios Spyridon¹,Vrochidis Stefanos¹,Kompatsiaris Ioannis¹

Affiliation:

1. Information Technologies Institute, Centre for Research and Technology - Hellas, Greece

2. School of Informatics, Aristotle University of Thessaloniki, Greece and Information Technologies Institute, Centre for Research and Technology - Hellas, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3549737.3549765

Reference19 articles.

1. Field C. B. Barros V. Stocker T. F. & Dahe Q. (Eds.). 2012. Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change. Cambridge University Press. Field C. B. Barros V. Stocker T. F. & Dahe Q. (Eds.). 2012. Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change. Cambridge University Press.

2. Managing Relief Inventories Responding to Natural Disasters: Gaps Between Practice and Literature

3. Khan A. Gupta S. & Gupta S. K. 2020. Multi-hazard disaster studies: Monitoring detection recovery and management based on emerging technologies and optimal techniques. International journal of disaster risk reduction 47 101642. Khan A. Gupta S. & Gupta S. K. 2020. Multi-hazard disaster studies: Monitoring detection recovery and management based on emerging technologies and optimal techniques. International journal of disaster risk reduction 47 101642.

4. Apostolakis , A. , Girtsou , S. , Kontoes , C. , Papoutsis , I. , & Tsoutsos , M. 2021 , June. Implementation of a Random Forest Classifier to Examine Wildfire Predictive Modelling in Greece Using Diachronically Collected Fire Occurrence and Fire Mapping Data . In International Conference on Multimedia Modeling (pp. 318-329) . Springer, Cham. Apostolakis, A., Girtsou, S., Kontoes, C., Papoutsis, I., & Tsoutsos, M. 2021, June. Implementation of a Random Forest Classifier to Examine Wildfire Predictive Modelling in Greece Using Diachronically Collected Fire Occurrence and Fire Mapping Data. In International Conference on Multimedia Modeling (pp. 318-329). Springer, Cham.

5. OWL Working Group . 2009. OWL 2 Web Ontology Language Document Overview: W3C Recommendation 27 October 2009 . OWL Working Group. 2009. OWL 2 Web Ontology Language Document Overview: W3C Recommendation 27 October 2009.

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