Multmedia Information Retrieval and Acquisition Interface with Interactive Information Visualization
| Project/Area Number |
08680425
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | University of Tokyo |
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Principal Investigator |
TATEMURA Junichi University of Tokyo, Institute of Industrial Science, Lecturer, 生産技術研究所, 講師 (40262117)
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| Co-Investigator(Kenkyū-buntansha) |
SAKAUCHI Masao University of Tokyo, Institute of Industrial Science, Professor, 生産技術研究所, 教授 (30107370)
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| Project Period (FY) |
1996 – 1997
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| Project Status |
Completed (Fiscal Year 1997)
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| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,600,000)
Fiscal Year 1997: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1996: ¥1,800,000 (Direct Cost: ¥1,800,000)
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| Keywords | User Interface / Information Visualization / Information Retrieval / Retrieval Interface / Multimedia Information / Interactive System / Dynamic Querying / インタラクティブ・システム |
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| Research Abstract |
We have developed new visual interaction techniques to obtain information from a very large and broad collection of data. Our techniques organize and visualize information dynamically, and navigate a user to explore the information space.
First, We have developed a dynamic layout algorithm of documents and keywords and a visual interaction technique based on this algorithm to explore a large collection of documents. This algorithm, "forcedirected dynamic layout algorithm", introduces a spring model to represent the document space and lays out documents and keywords according to these relevance. By introducing dynamic and continuous manipulation of visualized data into the visual clustering, our technique enables a user to explore the information space according to his/her own point of view. We have implemented an experimental visualization system, dalled "DocSpace", based on our technique.
Second, we have developed a visual interface for information mediating systems. There have been proposed "collaborative filtering" techniques that utilize recommendations of others to customize information filters. However, we need not only filtered data but also their relationships in the context of the whole information that has various trends of interests. We have therefore developed an information mediating system that vesualizes information space composed of reviewers and reviewed items. We have implemented the experimental system, "CinemaScape", that mediates movie reviews.
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Report
(3 results)
Research Products
(4 results)
