2011 Fiscal Year Final Research Report
Next-Generation Semi-structured Data Mining for Large-Scale Knowledge Base Formation
| Project/Area Number |
20240014
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (A)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Hokkaido University |
|---|
Principal Investigator |
ARIMURA Hiroki 北海道大学, 情報科学研究科, 教授 (20222763)
|
|---|
| 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)
|
|---|
| Project Period (FY) |
2008 – 2011
|
| Keywords | 知識発見とデータマイニング |
|---|
| 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.
|
