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Published in:
2013 | OriginalPaper | Chapter
Toward Information Sharing of Natural Disaster: Proposal of Timeline Action Network
Authors : The-Minh Nguyen, Takahiro Kawamura, Yasuyuki Tahara, Akihiko Ohsuga
Published in: Agents and Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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In emergency situations such as earthquake, typhoon, it is important to share people’s actions in real-time. Therefore, in this paper, we first design a timeline action network based on Web Ontology Language (OWL) in order to represent these actions in real-time. We then use our previous work to automatically collect data for the action network from Twitter. Finally, we propose a novel action-based collaborative filtering, which predicts missing activity data, in order to complement this timeline action network. Moreover, with a combination of collaborative filtering and natural language processing (NLP), our method can deal with minority actions such as successful actions. Based on evaluation of tweets which related to the massive Tohoku earthquake, we indicated that our timeline action network can share useful action patterns in real-time. Not only earthquake disaster, our research can also be applied to other disasters and business models, such as typhoon, travel, marketing, etc.