The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Knowledge as a Service Framework for Collaborative Data Management in Cloud Environments - Disaster Domain
|
|
Author(s): Katarina Grolinger (Western University, Canada), Emna Mezghani (Université de Toulouse, France), Miriam A. M. Capretz (Western University, Canada)and Ernesto Exposito (Université de Toulouse, France)
Copyright: 2016
Pages: 27
Source title:
Managing Big Data in Cloud Computing Environments
Source Author(s)/Editor(s): Zongmin Ma (Nanjing University of Aeronautics and Astronautics, China)
DOI: 10.4018/978-1-4666-9834-5.ch008
Purchase
|
Abstract
Decision-making in disaster management requires information gathering, sharing, and integration by means of collaboration on a global scale and across governments, industries, and communities. Large volume of heterogeneous data is available; however, current data management solutions offer few or no integration capabilities and limited potential for collaboration. Moreover, recent advances in NoSQL, cloud computing, and Big Data open the door for new solutions in disaster data management. This chapter presents a Knowledge as a Service (KaaS) framework for disaster cloud data management (Disaster-CDM), with the objectives of facilitating information gathering and sharing; storing large amounts of disaster-related data; and facilitating search and supporting interoperability and integration. In the Disaster-CDM approach NoSQL data stores provide storage reliability and scalability while service-oriented architecture achieves flexibility and extensibility. The contribution of Disaster-CDM is demonstrated by integration capabilities, on examples of full-text search and querying services.
Related Content
|
Dina Darwish.
© 2024.
43 pages.
|
|
Kassim Kalinaki, Musau Abdullatif, Sempala Abdul-Karim Nasser, Ronald Nsubuga, Julius Kugonza.
© 2024.
23 pages.
|
|
Yogita Yashveer Raghav, Ramesh Kait.
© 2024.
17 pages.
|
|
Renuka Devi Saravanan, Shyamala Loganathan, Saraswathi Shunmuganathan.
© 2024.
21 pages.
|
|
Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Palak Keshwani, Huma Khan, Sabyasachi Pramanik, Ankur Gupta, Digvijay Pandey.
© 2024.
30 pages.
|
|
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, Balakumar Muniandi, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech.
© 2024.
9 pages.
|
|
Avtar Singh, Shobhana Kashyap.
© 2024.
11 pages.
|
|
|