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  • 标题:Multi-Modal Interface for Information Access through Extraction and Visualization of Time-Series Information Toward Information Compilation
  • 本地全文:下载
  • 作者:Tsuneaki Kato ; Mitsunori Matsushita
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2007
  • 卷号:22
  • 期号:5
  • 页码:553-562
  • DOI:10.1527/tjsai.22.553
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:Information compilation is a novel technology that allows it to compile various information intelligently, and to make it easy to understand and to access. In this paper, as an instance of the possibilities of information compilation, we show a framework that extracts and visualizes given time-series information and its changes, and provides users with a multi-modal summarization and also an interactive interface for accessing that information. It can meet information requests, in which users need to comprehend some trend and movement, and access a series of documents containing specific time-series information related. We emphasis the importance of changes of data during some time period rather than data points, as the unit of information extracted and represented. Based on this idea, we propose a visualization method in which qualitative and quantitative characteristics of changes of a given time-series information are plotted with textually represented comments, and a widely applicable information extraction method that regards the changes of time-series information as information primitives and extracts those for the visualization.
  • 关键词:information compilation ; multimodal summarization ; trend information
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