Towards Automatic Detection of Potentially Important International Events/Phenomena from News Articles at Mostly Domestic News Sites

Authors:
Pham Van Hai;Takahiro Aoyagi;Tomoya Noro;Takehiro Tokuda
Affiliations:
{hai, takahiro, noro, tokuda}@tt.cs.titech.ac.jp, Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan;{hai, takahiro, noro, tokuda}@tt.cs.titech.ac.jp, Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan;{hai, takahiro, noro, tokuda}@tt.cs.titech.ac.jp, Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan;{hai, takahiro, noro, tokuda}@tt.cs.titech.ac.jp, Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan
Venue:
Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
Year:
2007

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Abstract

Unlike the relative success of general Web search engines detecting important Web pages, it is not yet easy to detect potentially important events/phenomena (other than obvious major newspaper top headlines) happening outside the country from observations of news articles on the Web. Current news index sites or news provider sites such as Google News, BBC, CNN, and Reuters, try to present streams of latest news. We present a new approach to automatic detection of potentially important events/phenomena happening outside the country based on the monitoring of a number of different mostly domestic news sites.