scholarly journals MAS coordination strategies and their application in disaster management domain

Author(s):  
Vivek Kumar Singh ◽  
Neelam Modanwal ◽  
Swati Basak
Author(s):  
Farhan Shafiq ◽  
Kamran Ahsan ◽  
Adnan Nadeem

Almost all the human being real life concerned domains are taking advantage of latest technologies for enhancing their process, procedures and operations. This integration of technological innovations provides ease of access, flexibility, transparency, reliability and speed for the concerned process and procedures. Rapid growth of ICT (Information and Communication Technology) and MT (Mobile Technology) provides opportunity to redesign and reengineered the human routines’ life activities process and procedures. Technology integration and adoption in routine life activities may serves compensatory mechanism to assist the population in different manner such as monitoring older adults and children at homes, provides security assistance, monitoring and recording patients vital signs automatically, controlling and monitoring equipments and devices, providing assistance in shopping, banking and education as well. Disasters happened suddenly, destroy everything indiscriminately. Adoption and integration of latest technologies including ICT and MT can enhance the current disaster management process, procedures and operations. This research study focuses the impacts of latest and emerging technology trends in routine life activities and surrounds their potential strength to improve and enhance disaster management activities. MT is providing a promising platform for facilitating people to enhance their routine life activities. This research argue that integration and adoption of mobile computing in disaster management domain can enhance disaster management activities with promising minimizing error, quick information assembling, quick response based on technology manipulation and prioritizing action.


Author(s):  
Siti Hajar Othman

A metamodel is a model that has the ability to create the languages of many domain models. Domain models are conceptual models of a domain under study and contain all the entities, attributes, relationships, and constraints of the domain. As the artifact of a metamodeling technique, a metamodel could generalize most of the concepts used in existing domain models by unifying the views and structuring the language of the domain. In relation to ontology, the creation of a metamodel could assist in understanding, structuring, and analyzing the ontology. Other than its potential to engineer new ontology and re-engineer existing ontology, a metamodel can also be used to facilitate communication among communities regarding the ontology. The authors present how a metamodel can structure and manage knowledge of a domain it models. Through the Disaster Management Metamodel, they create a language for the disaster management domain.


2015 ◽  
Vol 4 (1) ◽  
pp. 5 ◽  
Author(s):  
Katarina Grolinger ◽  
Emna Mezghani ◽  
Miriam A.M. Capretz ◽  
Ernesto Exposito

2013 ◽  
pp. 1019-1037
Author(s):  
Siti Hajar Othman

A metamodel is a model that has the ability to create the languages of many domain models. Domain models are conceptual models of a domain under study and contain all the entities, attributes, relationships, and constraints of the domain. As the artifact of a metamodeling technique, a metamodel could generalize most of the concepts used in existing domain models by unifying the views and structuring the language of the domain. In relation to ontology, the creation of a metamodel could assist in understanding, structuring, and analyzing the ontology. Other than its potential to engineer new ontology and re-engineer existing ontology, a metamodel can also be used to facilitate communication among communities regarding the ontology. The authors present how a metamodel can structure and manage knowledge of a domain it models. Through the Disaster Management Metamodel, they create a language for the disaster management domain.


Disaster is an unpredictable event unknowingly to human being when and where it will happen. Nevertheless, early precautions can be made by initiating Disaster Management (DM) to reduce losses and destructions that may arise. Based on the impact seen from recent events globally, DM has been a focus area constantly developing and evolving. Leveraging emerging technologies such as social media can improve actionable intelligence in Situational Awareness aspect. Among other meteorological events, flood has been the most common natural disaster by far, cumulating in total 43% out of all disaster phenomenon from the last 20 years. However, in DM perspective, flood is still informally represented to enable information exchange and comprehensive flood management activities. To address both issues, this study will further extend existing Disaster Management Metamodel (DMM) with social media concepts and designs Flood Management by applying metamodeling process with UML class diagram since it has been well known by domain experts. Still, class diagram unable to cater applications that relies on processing content of information instead of visualization only. This limitation is overcome by transforming the metamodeling source into ontology format which elevates the expressiveness, meaning, and delivering more structured information among human or software agents. The reconstructed design of DMM successfully identifies new concepts generally and for flood domain. After running the mapping algorithm, the generated ontology is validated with Protégé to ensure the markups are persistence with the latter.


2021 ◽  
Vol 10 (5) ◽  
pp. 324
Author(s):  
Allan Mazimwe ◽  
Imed Hammouda ◽  
Anthony Gidudu

The success of disaster management efforts demands meaningful integration of data that is geographically dispersed and owned by stakeholders in various sectors. However, the difficulty in finding, accessing and reusing interoperable vocabularies to organise disaster management data creates a challenge for collaboration among stakeholders in the disaster management cycle on data integration tasks. Thus the need to implement FAIR principles that describe the desired features ontologies should possess to maximize sharing and reuse by humans and machines. In this review, we explore the extent to which sharing and reuse of disaster management knowledge in the domain is inline with FAIR recommendations. We achieve this through a systematic search and review of publications in the disaster management domain based on a predefined inclusion and exclusion criteria. We then extract social-technical features in selected studies and evaluate retrieved ontologies against the FAIR maturity model for semantic artefacts. Results reveal that low numbers of ontologies representing disaster management knowledge are resolvable via URIs. Moreover, 90.9% of URIs to the downloadable disaster management ontology artefacts do not conform to the principle of uniqueness and persistence. Also, only 1.4% of all retrieved ontologies are published in semantic repositories and 84.1% are not published at all because there are no repositories dedicated to archiving disaster domain knowledge. Therefore, there exists a very low level of Findability (1.8%) or Accessibility (5.8%), while Interoperability and Reusability are moderate (49.1% and 30.2 % respectively). The low adherence of disaster vocabularies to FAIR Principles poses a challenge to disaster data integration tasks because of the limited ability to reuse previous knowledge during disaster management phases. By using FAIR indicators to evaluate the maturity in sharing, discovery and integration of disaster management ontologies, we reveal potential research opportunities for managing reusable and evolving knowledge in the disaster community.


2002 ◽  
Vol 17 (S2) ◽  
pp. S25
Author(s):  
Rannveig Bremer Fjær ◽  
Knut Ole Sundnes

In frequent humanitarian emergencies during the last decades, military forces increasingly have been engaged through provision of equipment and humanitarian assistance, and through peace-support operations. The objective of this study was to evaluate how military resources could be used in disaster preparedness as well as in disaster management and relief.


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