Leveraging Social Media for Enriching Disaster related Location Trustiness
Location-based services play an important role in many applications such as disaster warning systems and recommendation systems. These applications often require not only location information (e.g., name, latitude, longitude, etc.) but also the impact of events (e.g., earthquake, typhoon, etc.) on l...
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Published in | 디지털콘텐츠학회논문지 Vol. 18; no. 3; pp. 567 - 575 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
한국디지털콘텐츠학회
01.06.2017
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Subjects | |
Online Access | Get full text |
ISSN | 1598-2009 2287-738X |
DOI | 10.9728/dcs.2017.18.3.567 |
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Summary: | Location-based services play an important role in many applications such as disaster warning systems and recommendation systems. These applications often require not only location information (e.g., name, latitude, longitude, etc.) but also the impact of events (e.g., earthquake, typhoon, etc.) on locations. Recently, to provide the impact of an event on a location, how to calculate location trustiness by using multimodal information such as earthquake information and disaster sensor data is researched. In the previous approach, the linear decrement of impact value of an event is applied to obtain the location trustiness of a specific location. In this paper, we propose a new approach to enrich location trustiness, that is, the impact of an event on a location, by using social media information additionally. Firstly, we design a collecting system for earthquake information and social media data. Secondly, we present an approach of location trustiness calculation based on earthquake information. Finally, we propose a new approach to enrich location trustiness by augmenting the trustiness in spatially distributed manner based on social media. Through the extensive evaluation for showing the viability of our approach, promising results depict that (1) location trustiness based disaster resilient network reduces significantly the time of recovering the network; (2) using location trustiness benefits the process of user selection in disaster warning notification system. KCI Citation Count: 2 |
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Bibliography: | http://dx.doi.org/10.9728/dcs.2017.18.3.567 |
ISSN: | 1598-2009 2287-738X |
DOI: | 10.9728/dcs.2017.18.3.567 |