Authors:
Asanee Kawtrakul
1
;
Intiraporn Mulasastra
2
;
Hutchatai Chanlekha
2
;
Kulapramote Prathumchai
3
;
Vasuthep Khunthong
2
;
Masahiko Nagai
3
and
Sachit Rajbhandari
4
Affiliations:
1
Kasetsart University and National Electronic and Computer Technology Center, Thailand
;
2
Kasetsart University, Thailand
;
3
Asian Institute of Technology, Thailand
;
4
Food and Agriculture Organization of the United Nations, Thailand
Keyword(s):
Data Integration, Disaster Management, e-Government, Ontology, Social Media.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Information Integration
;
Integration/Interoperability
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Symbolic Systems
Abstract:
Data sharing is essential for government agencies during disaster management as it requires high collaborative efforts among various organizations. Recently, social media have been increasingly used during the disasters for disseminating and receiving information to and from the public. By using social media for communications, the government can receive real-time data from the public and from organizations. The challenge lies in how to combine social media with government data, which is gathered from multiple sources, in multiple formats using multiple terminologies. This paper focuses on how to manage, integrate, and verify data acquired from multiple sources. The proposed model was designed by using frame-based data collection and ontology-based data integration, combined with the effective use of dynamic data from social media, with the aim of improving the disaster assistance.