AI SearchAn ontogogy-based approach to resilient recovery support for disaster victims in Vietnam
Call Number: AIT RSPR no.DSAI-24-03 Material type:
TextSeries: Asian Institute of Technology. Research studies project report ; no. DSAI-24-03Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2024Description: 75 leaves : ill.+ 1online resourceSubject(s): Online resources: Dissertation note: Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2024 Summary: The recovery stage post-disaster involves communities, individuals, and infrastructure aiming to restore normalcy. However, after a disaster, uncertainty prevails, which will leave individuals unsure about required criteria and available welfare resources. Concerns for recovering prompt people to seek information from various sources, but fragmented and scattered data leads to confusion and time-consuming. This lack of cohesion delays access to crucial support. To address this, a research study proposes an ontology-based approach for disaster victims, which will serve as a structured knowledge base for streamlined recovery guidance.
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Asian Institute of Technology Library Archives | AIT RSPR no.DSAI-24-03 (Browse shelf(Opens below)) | 1 | Not for loan |
A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Data Science and Artificial Intelligence
Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2024
The recovery stage post-disaster involves communities, individuals, and infrastructure aiming to restore normalcy. However, after a disaster, uncertainty prevails, which will leave individuals unsure about required criteria and available welfare resources. Concerns for recovering prompt people to seek information from various sources, but fragmented and scattered data leads to confusion and time-consuming. This lack of cohesion delays access to crucial support. To address this, a research study proposes an ontology-based approach for disaster victims, which will serve as a structured knowledge base for streamlined recovery guidance.
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