Development of Systematic Acquisition System of Information Graded by Reliability from Large-scale Linked Data
| Project/Area Number |
21300031
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | The University of Tokyo |
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Principal Investigator |
SHIRAYAMA Susumu 東京大学, 大学院・工学系研究科, 准教授 (10322067)
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| Project Period (FY) |
2009 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥12,480,000 (Direct Cost: ¥9,600,000、Indirect Cost: ¥2,880,000)
Fiscal Year 2012: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2010: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2009: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
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| Keywords | ネットワーク / 大規模データ / 情報信頼度 / コミュニティ構造 / 集合知 / 可視化 / 視線計測 / データマイニング / 認知特性 / 進化ゲーム理論 |
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| Research Abstract |
The method and methodology for acquiring useful information from the widely distributed large-scale data have been discussed. However, there are few methods of acquiring information which utilizes the nature of the linked data structure. Moreover, it is not easy to understand the results of analysis. In this study, we attempt to develop a new acquisition system with which to reduce information unreliability. The system consists of a structural analysis method for the large-scale dynamical network, an evaluation method of the whole network structure from partial information, the enhanced TrustRank, and an information displaying method in which visibility is high.
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Report
(5 results)
Research Products
(56 results)
