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You searched for subject:(Disaster management metamodel). Showing records 1 – 2 of 2 total matches.

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University of Wollongong

1. Othman, Siti Hajar. Metamodelling Approach for Managing Disaster Management Knowledge.

Degree: PhD, Faculty of Informatics, 2012, University of Wollongong

Disaster Management (DM) is a multidisciplinary endeavour and a very difficult knowledge domain to model. It is a diffused area of knowledge that is continuously evolving and informally represented. The domain has many complex features interconnecting the physical and the social views of the world and uncertain ones representing unpredictable events. Many international and national bodies create knowledge models to allow knowledge sharing and effective disaster management activities. These models are often narrow in focus and deal with specific disaster types. Analysis of these models uncover that many disaster management activities are actually common even when the events vary. This research creates a unified view of disaster management in the form of a metamodel that can be seen as a language for this domain. A metamodelling process is applied to ensure that the outcome metamodel is complete and consistent. The metamodel is validated and refined to serve as a representational layer to unify, facilitate and expedite access to DM expertise. This aims to facilitate knowledge sharing, combining and matching different DM activities as different situations arise. This is demonstrated by applying the metamodel as a semantic modeling standard of DM to describe data models independently from the language of the domain itself. A prototype of a Disaster Management Knowledge Repository (DMKR) is developed to demonstrate the applicability of this approach in real world scenarios of disaster management. The generation of new metadata (user model) is facilitated by instantiation and conformance mapping resulting from the semantic agreement between models and metamodel rules. This research synthesises and validates a methodical metamodelling process applicable to domains represented in a diffused and informal manner such as disaster management. By focussing on the validation and the metamodelling process on disaster management, it makes a significant contribution to this important domain unifying key concepts into a metamodel that can be used as knowledge sharing platform.

Subjects/Keywords: metamodel; disaster management; domain concept; metamodelling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Othman, S. H. (2012). Metamodelling Approach for Managing Disaster Management Knowledge. (Doctoral Dissertation). University of Wollongong. Retrieved from 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0803 COMPUTER SOFTWARE, 080603 Conceptual Modelling, 080608 Information Systems Development Methodologies, 080609 Information Systems Management ; https://ro.uow.edu.au/theses/3588

Chicago Manual of Style (16th Edition):

Othman, Siti Hajar. “Metamodelling Approach for Managing Disaster Management Knowledge.” 2012. Doctoral Dissertation, University of Wollongong. Accessed August 22, 2019. 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0803 COMPUTER SOFTWARE, 080603 Conceptual Modelling, 080608 Information Systems Development Methodologies, 080609 Information Systems Management ; https://ro.uow.edu.au/theses/3588.

MLA Handbook (7th Edition):

Othman, Siti Hajar. “Metamodelling Approach for Managing Disaster Management Knowledge.” 2012. Web. 22 Aug 2019.

Vancouver:

Othman SH. Metamodelling Approach for Managing Disaster Management Knowledge. [Internet] [Doctoral dissertation]. University of Wollongong; 2012. [cited 2019 Aug 22]. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0803 COMPUTER SOFTWARE, 080603 Conceptual Modelling, 080608 Information Systems Development Methodologies, 080609 Information Systems Management ; https://ro.uow.edu.au/theses/3588.

Council of Science Editors:

Othman SH. Metamodelling Approach for Managing Disaster Management Knowledge. [Doctoral Dissertation]. University of Wollongong; 2012. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0803 COMPUTER SOFTWARE, 080603 Conceptual Modelling, 080608 Information Systems Development Methodologies, 080609 Information Systems Management ; https://ro.uow.edu.au/theses/3588


University of New South Wales

2. Geumpana, Teuku. Priority over cloudlet terminal (POCkET): a system framework for disaster response environments.

Degree: Computer Science & Engineering, 2019, University of New South Wales

Massive amounts of data during disaster situations require timely collection and analysis for the emergency team to mitigate the impact of the disaster under challenging social-technical conditions. The absence of Internet or its intermittent and bandwidth-constraint connection in disaster areas may exacerbate and disrupt the data collection process during the emergency response and may cause delays for vital information to reach the control room in time. Instead of solving the problem at a network level, the thesis provides an alternative solution at the software design level. Our solution is called the Priority Over Cloudlet Terminal (POCkET) Framework which consists of two components. The first one, called GIMo, is a generic disaster information model that defines dataset attributes and how each attribute is structured and customized. The second one, called AMMo, adapts GIMo structure and customization into a cloudlet implementation by assigning priority value for each dataset attribute and aggregates the attribute values into new priority level of a dataset. This mechanism ensures that a dataset with a higher priority value will receive special treatment over a limited network situation. In this thesis, the POCkET Framework is simulated using a Discrete Event Simulation System. GIMo and AMMo are evaluated by observing the accuracy of the assigned priority compared to predefined scenarios using a distance measure teachnique. Two scenarios from bushfire and flood case studies are created and tested using different contexts. Eventually, the experiments have shown a better result in the customized context. For that reason, POCkET Framework has provided a potential alternative solution to the network problem in disaster environments by modifying the emergency response system requirements. Advisors/Committee Members: Rabhi, Fethi, Computer Science & Engineering, Faculty of Engineering, UNSW, Zhu, Liming, Computer Science & Engineering, Faculty of Engineering, UNSW.

Subjects/Keywords: Adaption mechanism; Design process; Information priority model; Disaster response; Disaster management metamodel

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Geumpana, T. (2019). Priority over cloudlet terminal (POCkET): a system framework for disaster response environments. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/61458

Chicago Manual of Style (16th Edition):

Geumpana, Teuku. “Priority over cloudlet terminal (POCkET): a system framework for disaster response environments.” 2019. Doctoral Dissertation, University of New South Wales. Accessed August 22, 2019. http://handle.unsw.edu.au/1959.4/61458.

MLA Handbook (7th Edition):

Geumpana, Teuku. “Priority over cloudlet terminal (POCkET): a system framework for disaster response environments.” 2019. Web. 22 Aug 2019.

Vancouver:

Geumpana T. Priority over cloudlet terminal (POCkET): a system framework for disaster response environments. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2019 Aug 22]. Available from: http://handle.unsw.edu.au/1959.4/61458.

Council of Science Editors:

Geumpana T. Priority over cloudlet terminal (POCkET): a system framework for disaster response environments. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/61458

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