Developmental Studies on Metadata Cloud based on Efficient Join for Linked Data Search

2014 Fiscal Year Final Research Report

• Project/Area Number: 24680010
• Research Category: Grant-in-Aid for Young Scientists (A)
• Allocation Type: Partial Multi-year Fund
• Research Field: Media informatics/Database
• Research Institution: National Institute of Advanced Industrial Science and Technology
• Principal Investigator: MATONO Akiyoshi 独立行政法人産業技術総合研究所, 情報技術研究部門, 主任研究員 (10443227)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: Linked Data / データベース / 結合 / 並列処理・分散処理 / メタデータ / クラウド / RDF / 構造化文書

Outline of Final Research Achievements

Linked Data is expected as resources where value information is buried. However, it's too hard to search answers from the entire Linked Data efficiently because large and high cost join operations are frequently occurred for such a query. To address such a problem, we proposed novel techniques. In particular, storing approach that can skip join operations based on structure of RDF documents, and join algorithm that can avoid unnecessary data reading for the low-selectivity join. We evaluated the performance of our approaches through a series of experiments using large data set.

Free Research Field

データ工学