Interactive Knowledge Content Refinement and Application of Crowdsourcing
| Project/Area Number |
15K00324
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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 | Ritsumeikan University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
黄 宏軒 立命館大学, 情報理工学部, 准教授 (00572950)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 知識ベース精錬 / クラウドソーシング / ゲーミフィケーション |
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| Outline of Final Research Achievements |
We proposed a refining method of knowledge content interactively with a user when a problem in knowledge content is found. Knowledge content in a word retrieval assistant, which aims to support word finding difficulty of people with aphasia, is used as a target, and a protocol for acquiring information necessary for fixing knowledge content was proposed. In addition, we proposed a method to obtain information necessary for refining knowledge content represented as linked data, using quizzes in the game format.
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Report
(4 results)
Research Products
(11 results)
