| Project/Area Number |
25330254
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Yokohama National University |
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Principal Investigator |
Mori Tatsunori 横浜国立大学, 環境情報研究科(研究院), 教授 (70212264)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 情報キュレーション / 情報抽出 / 自動要約 / テキストマイニング / 自然言語処理 |
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| Outline of Final Research Achievements |
Although Web is widely used for decision-making in everyday life, users have to make great effort to select useful information in Web. Curation service, which gathers information on a certain topic, selects good one, compiles a summary with useful comments, and promotes users to share the information, has drawn a great deal of attention. However, the creation of the information highly depends on the curators’ skill. On the other hand, there exist not a few texts that describe the relation between two other texts. Therefore, by mining such texts, we expect that we can obtain a curation map, which makes us easily understand the relation among information pieces.
In this project, we study a set of methods that are needed for users to construct curation maps.
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