| Project/Area Number |
24500120
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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 |
Media informatics/Database
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| Research Institution | Kagoshima University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KAWASAKI Hiroshi 鹿児島大学, 大学院理工学研究科, 教授 (80361393)
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| Co-Investigator(Renkei-kenkyūsha) |
FUCHIDA Takayasu 鹿児島大学, 大学院理工学研究科, 准教授 (70253911)
AKAGI Yasuhiro 東京農工大学, 大学院工学研究院, 特任准教授 (90451989)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | 情報検索 / 機械学習 / クラスタリング |
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| Outline of Final Research Achievements |
In this research we have developed a new retrieval system which can realize a semasiological search in respond to latent request from users. To study semantic attribute of words, we have proposed a generation method of feature vector that uses the semantic attribute of the words appeared in texts and thesaurus, in order to put the semantic attribute of words into the feature vectors. Several learning algorithms were applied to framework of machine learning and ensemble learning for clustering. Then we have examined their performance.
In application system, we have developed interactive user interface using three-dimensional data. As our new approaches, we have developed real systems using not only texts, but also images and spatial information to realize more intuitive user operation.
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