Research for RDF Query Processing Focused on Join Operations in Distributed Environments
Project/Area Number |
19700109
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Media informatics/Database
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Research Institution | National Institute of Advanced Industrial Science and Technology |
Principal Investigator |
MATONO Akiyoshi National Institute of Advanced Industrial Science and Technology, 情報技術研究部門, 研究員 (10443227)
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Project Period (FY) |
2007 – 2009
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Project Status |
Completed (Fiscal Year 2009)
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Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥600,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2007: ¥1,100,000 (Direct Cost: ¥1,100,000)
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Keywords | インターネット高度化 / ハイパフォーマンスコンピューティング / 分散データベース / メタデータ / 問合せ処理 / ハイバフォーマンスコンビューティング / 分散データボース |
Research Abstract |
In this research project, we aimed for proposing an efficient RDF query processing in a distributed environment, and then we've tried to carry out the following three issues. (1) Improvement of the efficiency of the query processing in a bottom-up distributed environment. (2) Constructing materialized views based on the characteristic of RDF. (3) Proposing a join operation for low join-selectivity. In all these themes, we designed and implemented prototype systems, and evaluated the performance of them through various experiments. As the results of comparing them with each ordinary approach, (1) the amount of transferred data could be reduced by 1/128, (2) the constructing time of materialized views could be reduced by 1/3, and (3) the join processing times could be reduced by 85%.
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Report
(4 results)
Research Products
(10 results)
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[Presentation] 低結合選択率に適した読み飛し可能な結合アルゴリズム2010
Author(s)
的野晃整, 谷村勇輔, スティーブンリンデン, 小島功, Btree Merge Join
Organizer
第2回データ工学と情報マネジメントに関するフォーラム・第8回日本データベース学会年次大会
Place of Presentation
淡路夢舞台国際会議場(兵庫県淡路市)
Year and Date
2010-03-01
Related Report
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