Building an earthquake evacuation ontology from twitter
Building an earthquake evacuation ontology from twitter
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DOI：
10.1109/grc.2011.6122613
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
Isabel Shizu Miyamae Iwanaga;The-Minh Nguyen;Takahiro Kawamura;Hiroyuki Nakagawa;Yasuyuki Tahara;Akihiko Ohsuga
中科院分区：
文献类型：
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作者：
Isabel Shizu Miyamae Iwanaga;The-Minh Nguyen;Takahiro Kawamura;Hiroyuki Nakagawa;Yasuyuki Tahara;Akihiko Ohsuga
在东北大地震期间，当固定电话和移动电话线路受阻时，Twitter被用来交换有关疏散的信息。3月11日，来自日本的推文数量急剧增加，达到约3300万条，比平均数字高出1.8倍。然而，由于推特上的文本是非结构化数据，比其他文本媒体更复杂，很难找到合适的疏散中心。不仅是推特上的信息，人们还需要结合地图信息、商店信息等其他信息来寻找合适的疏散中心。由于这些任务需要花费大量的时间，这些人工处理不适合在紧急状态下进行。因此，我们需要一种方法来帮助计算机理解疏散的含义，并实时地根据地震灾民的行为提供最合适的疏散中心。本文首先设计了地震疏散本体。其次，我们指出，利用这个本体，计算机可以根据地震灾民的行为实时提供最合适的疏散中心。
During the massive Tohoku earthquake, while landlines and mobile phone lines got stuck, Twitter were used to exchange information about evacuation. On 11 March, the number of tweets from Japan dramatically increased to about 33 million, 1.8 times higher than the average figure. However, since texts on Twitter are unstructured data, are more complex than other text media, it is difficult to find a suitable evacuation center. Not only information in Twitter, people but also need to combine other information such as map information, shop information to find the suitable evacuation center. Since it takes much time to do these tasks, these manual processing are not suitable in the emergency status. Therefore, we need an approach to help computers to understand the meaning of evacuation, and to provide the most suitable evacuation center based on earthquake victims' behaviors in real-time. In this paper, we firstly design an earthquake evacuation ontology. Secondly, we indicate that by using this ontology, computers can provide the most suitable evacuation center based on earthquake victims' behaviors in real-time.