Collection and Management of Information on Time-varying Objects on the Web
Project/Area Number |
21700106
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Media informatics/Database
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Research Institution | Hokkaido University |
Principal Investigator |
OYAMA Satoshi 北海道大学, 大学院・情報科学研究科, 准教授 (30346100)
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Project Period (FY) |
2009 – 2010
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Project Status |
Completed (Fiscal Year 2010)
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Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2010: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2009: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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Keywords | Web / オブジェクト検索 / オブジェクト識別 / 時間情報 / 機械学習 / リンク予測 / リンク解析 / 情報抽出 |
Research Abstract |
Dealing with temporal variations of objects such as people and organizations is one of the important technical challenges to enable object-level search engines that treat an object as a retrieval unit. The contributions of this research include formalization of identifying time-varying objects as a cross temporal link prediction problem that infer the links among data in different time periods and development of a machine learning method that can enable accurate predictions.
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Report
(3 results)
Research Products
(23 results)
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[Presentation] Cross-temporal Link Prediction2011
Author(s)
Satoshi Oyama, Kohei Hayashi, Hisashi Kashima
Organizer
11th IEEE International Conference on Data Mining (ICDM 2011)
Place of Presentation
Marriott Pinnacle Downtown (Canada)
Year and Date
2011-12-13
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[Presentation] Webからの明示的・暗示的な将来情報の抽出2010
Author(s)
金澤健介, Adam Jatowt, 小山聡, 田中克己
Organizer
第2回データ工学と情報マネジメントに関するフォーラム(DEIM 2010)
Place of Presentation
淡路夢舞台国際会議場 (兵庫県)
Year and Date
2010-03-02
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