A social semantic web based conceptual architecture of disaster trail management system
Disasters affect human lives severely. Due to these disasters, hundreds and thousands of human beings lost their lives and gracious properties. Government agencies, nongovernment organization and individual volunteers act to rescue the affected people and to mitigate the disaster effects. These...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
The Science and Information (SAI) Organization
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/59176/ http://irep.iium.edu.my/59176/ http://irep.iium.edu.my/59176/1/59176_A%20Social%20Semantic%20Web%20based%20_article.pdf http://irep.iium.edu.my/59176/7/59176_%20On%20social%20semantic%20web_WOS.pdf |
| Summary: | Disasters affect human lives severely. Due to these
disasters, hundreds and thousands of human beings lost their lives and gracious properties. Government agencies, nongovernment
organization and individual volunteers act to rescue
the affected people and to mitigate the disaster effects. These
teams require real time information about the nature, severity,
area and number of affectees. Their efforts can be supported by
providing timely, effective and specific information so that the
rescuers can get better idea about the available routes to reach
the affectees, urgency and mass of loss. People share huge
amount of data through blogs and social media that can be
utilized to help rescue operations. This information can
electronically be filtered, arranged and formatted in a proper
manner. Thus, semantic web technologies can play a vital role in
providing timeliness information. Purpose of this research is to
capture explicit knowledge of the domain in form of ontologies,
automatic information extraction, generation of implicit
knowledge and then disseminating this information to various
stakeholders. Collection of implicit and explicit knowledge will
help improve decision making for disaster trail management. |
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