Visualization of Earthquake Trend Information from MuST Corpus

نویسنده

  • Yasufumi Takama
چکیده

A system for extracting and visualizing trend information about earthquakes from tagged corpus, which is distributed by a Workshop on Multimodal Summarization for Trend Information (MuST), is proposed. The topic of earthquakes does not contain only temporal trends, which are main concerns of typical topics such as gas price and stock price movement, but also spatial trends including the seismicity of earthquakes. The proposed system employs the map of Japan for visualizing spatial trends, as well as bar and line charts for temporal trends. The system also focuses on swarm earthquakes, which are visualized with the combination of the map and bar chart visualizations. Furthermore, the system provides users with an interactive facility so that they can obtain several visualization results with intuitive operations such as mouse-click on the map. A prototype system is implemented, of which functionality is compared with existing earthquake database system. The merit of extracting earthquake trend information from newspaper articles is also considered.

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تاریخ انتشار 2007