Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Matsuo, Y., Okazaki, N., Izumi, K., Nakamura, Y., Nishimura, T., Hasida, K.: Inferring long-term user properties based on users’ location history. In: Proc. IJCAI 2007, pp. 2159–2165 (2007)
Poslad, S.: Ubiquitous Computing Smart Devices, Environments and Interactions. Wiley (2009) ISBN: 978-0-470-03560-3
Nguyen, T.M., Kawamura, T., Tahara, Y., Ohsuga, A.: Building a Time Series Action Network for Earthquake Disaster. In: Proc. ICAART 2012, vol. 1, pp. 100–108 (2012)
Nikkei Shimbun (2011), http://e.nikkei.com/e/fr/tnks/Nni20110705D05HH763.htm
Nakabayashi, I.: Development of urban disaster prevention systems in Japan - from the mid-1980s. Journal of Disaster Research 1 (2006)
Biglobe (2011), http://tr.twipple.jp/info/bunseki/20110427.html
Nguyen, T.M., Kawamura, T., Tahara, Y., Ohsuga, A.: Self-supervised capturing of users’ activities from weblogs. International Journal of Intelligent Information and Database Systems 6, 61–76 (2012)
Banko, M., Etzioni, O.: The tradeoffs between open and traditional relation extraction. In: Proc. ACL 2008: HLT, pp. 28–36 (2008)
Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: Proc. ICML, pp. 282–289 (2001)
Kudo, T., Matsumoto, Y.: Japanese dependency analysis using cascaded chunking. In: Proc. COLING, pp. 1–7 (2002)
W3C (2006), http://www.w3.org/DesignIssues/Notation3
Geo (2003), http://www.w3.org/2003/01/geo/wgs84_pos
Raimond, Y., Abdallah, S.: (2007), http://purl.org/NET/c4dm/timeline.owl
Halpin, H., Iannella, R., Suda, B., Walsh, N.: (2010), http://www.w3.org/2006/vcard/ns
Ma, H., King, I., Lyu, M.R.: Effective missing data prediction for collaborative filtering. In: Proc. SIGIR, pp. 39–46 (2007)
Koren, Y.: Collaborative filtering with temporal dynamics. In: Proc. KDD, pp. 447–456 (2009)
Sandholm, T., Ung, H.: Real-time, location-aware collaborative filtering of web content. In: Proc. CaRR, pp. 14–18 (2011)
W3C: SPARQL Query Language for RDF (2008)
Nguyen, T.-M., Kawamura, T., Nakagawa, H., Tahara, Y., Ohsuga, A.: Automatic extraction and evaluation of human activity using conditional random fields and self-supervised learning. Transactions of the Japanese Society for Artificial Intelligence 26, 166–178 (2011)
Liu, H., Singh, P.: Conceptnet: A practical commonsense reasoning tool-kit. BT Technology Journal 22, 211–226 (2004)
MIT (2011), http://openmind.media.mit.edu/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nguyen, TM., Kawamura, T., Tahara, Y., Ohsuga, A. (2013). Toward Information Sharing of Natural Disaster: Proposal of Timeline Action Network. In: Filipe, J., Fred, A. (eds) Agents and Artificial Intelligence. ICAART 2012. Communications in Computer and Information Science, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36907-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-36907-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36906-3
Online ISBN: 978-3-642-36907-0
eBook Packages: Computer ScienceComputer Science (R0)