2011 Fiscal Year Final Research Report
Next-Generation Semi-structured Data Mining for Large-Scale Knowledge Base Formation
| Project/Area Number |
20240014
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Hokkaido University |
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Principal Investigator |
ARIMURA Hiroki 北海道大学, 情報科学研究科, 教授 (20222763)
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| Co-Investigator(Kenkyū-buntansha) |
KIDA Takuya 北海道大学, 大学院・情報科学研究科, 准教授 (70343316)
MINATO Shin-ichi 北海道大学, 大学院・情報科学研究科, 准教授 (10374612)
ITO Kimihito 北海道大学, 人獣共通感染症リサーチセンター, 准教授 (60396314)
UNO Takeaki 国立情報学研究所, 情報学プリンシプル研究系, 准教授 (00302977)
HIRATA Kouichi 九州工業大学, 情報工学研究院, 准教授 (20274558)
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| Project Period (FY) |
2008 – 2011
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| Keywords | 知識発見とデータマイニング |
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| Research Abstract |
In this research, we study efficient semi-structured data mining technologies and related knowledge federation and indexing technologies, which enables knowledge extraction from massive semi-structured data in the real world. Finally, we made a number of knowledge extraction experiments.
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Research Products
(49 results)
