Modeling emergency management data by UML as an extension of geographic data sharing model: AST approach

Applying GIS functionality provides a powerful decision support in various application areas and the basis to integrate policies directed to citizens, business, and governments. The focus is changing toward integrating these functions to find optimal solutions to complex problems. As an integral part of this approach, geographic data sharing model for Turkey were developed as a new approach that enables using the data corporately and effectively. General features of this model are object-oriented model, based on ISO/TC211 standards and INSPIRE Data Specifications, describing nationwide unique object identifiers, and defining a mechanism to manage object changes through time. The model is fully described with Unified Modeling Language (UML) class diagram. This can be a starting point for geographic data providers in Turkey to create sector models like Emergency Management that has importance because of the increasing number of natural and man-made disasters. In emergency management, this sector model can provide the most appropriate data to many "Actors" that behave as emergency response organizations such as fire and medical departments. Actors work in "Sectors" such as fire department and urban security. Each sector is responsible for "Activities" such as traffic control, fighting dire, emission, and so on. "Tasks" such as registering incident, fire response, and evacuating area are performed by actors and part of activity. These tasks produce information for emergency response and require information based on the base data model. By this way, geographic data models of emergency response are designed and discussed with "Actor-Sector-Activity-Task" classes as an extension of the base model with some cases from Turkey.

[1]  Sisi Zlatanova,et al.  Spatiotemporal data modeling for disaster management in the Netherlands , 2008 .

[2]  Susan L. Cutter,et al.  GI Science, Disasters, and Emergency Management , 2003, Trans. GIS.

[3]  John Steenbruggen,et al.  The Value of Gi4DM for Transport & Water Management , 2005 .

[4]  Sisi Zlatanova,et al.  Investigation of user requirements in the emergency response sector: the Dutch case , 2006 .

[5]  Theresa A. Pardo,et al.  Learning about Interoperability for Emergency Response: Geographic Information Technologies and the World Trade Center Crisis , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[6]  Simon French,et al.  Nuclear Emergency Management in Europe: a Review of Approaches to Decision Making , 2005 .

[7]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[8]  Wei Xu Modelling emergency response processes : Comparative study on OWL and UML , 2008 .

[9]  Sisi Zlatanova,et al.  Ontologies for Disaster Management Response , 2007 .

[10]  Michael J. Kevany,et al.  GIS in the World Trade Center attack - trial by fire , 2003, Comput. Environ. Urban Syst..

[11]  Henk J. Scholten,et al.  Spatial Data Infrastructure for Emergency Response in Netherlands , 2008 .

[12]  Joel Waldfogel,et al.  Introduction , 2010, Inf. Econ. Policy.

[13]  Sisi Zlatanova,et al.  Creating Spatial Information Infrastructures: Towards the Spatial Semantic Web , 2008 .

[14]  Sisi Zlatanova,et al.  GEO-INFORMATION SUPPORT IN MANAGEMENT OF URBAN DISASTERS , 2006 .

[15]  Douglas Nebert,et al.  Developing Spatial Data Infrastructures: The SDI Cookbook , 2001 .

[16]  Arnold K. Bregt,et al.  World Status of National Spatial Data Clearinghouses , 2003 .

[17]  S. Zlatanova,et al.  SERVICES FOR AN EMERGENCY RESPONSE SYSTEM IN THE NETHERLANDS , 2006 .