BUILDING A TIME SERIES ACTION NETWORK FOR EARTHQUAKE DISASTER

The-Minh Nguyen, Takahiro Kawamura, Yasuyuki Tahara, Akihiko Ohsuga

2012

Abstract

Since there is 87% of chance of an approximately 8.0-magnitude earthquake occurring in the Tokai region of Japan within the next 30 years; we are trying to help computers to recommend suitable action patterns for the victims if this massive earthquake happens. For example, the computer will recommend “what should do to go to a safe place”, “how to come back home”, etc. To realize this goal, it is necessary to have a collective intelligence of action patterns, which relate to the earthquake. It is also important to let the computers make a recommendation in time, especially in this kind of emergency situation. This means these action patterns should to be collected in real-time. Additionally, to help the computers understand the meaning of these action patterns, we should build the collective intelligence based on web ontology language (OWL). However, the manual construction of the collective intelligence will take a large cost, and it is difficult in the emergency situation. Therefore, in this paper, we first design a time series action network. We then introduce a novel approach, which can automatically collects the action patterns from Twitter for the action network in realtime. Finally, we propose a novel action-based collaborative filtering, which predicts missing activity data, to complement this action network.

Paper Citation

in Harvard Style

Nguyen T., Kawamura T., Tahara Y. and Ohsuga A. (2012). BUILDING A TIME SERIES ACTION NETWORK FOR EARTHQUAKE DISASTER . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 100-108. DOI: 10.5220/0003741701000108

in Bibtex Style

@conference{icaart12,
author={The-Minh Nguyen and Takahiro Kawamura and Yasuyuki Tahara and Akihiko Ohsuga},
title={BUILDING A TIME SERIES ACTION NETWORK FOR EARTHQUAKE DISASTER},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={100-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003741701000108},
isbn={978-989-8425-95-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - BUILDING A TIME SERIES ACTION NETWORK FOR EARTHQUAKE DISASTER
SN - 978-989-8425-95-9
AU - Nguyen T.
AU - Kawamura T.
AU - Tahara Y.
AU - Ohsuga A.
PY - 2012
SP - 100
EP - 108
DO - 10.5220/0003741701000108