Study on query sharing for utilization of Linked Open Data
| Project/Area Number |
15H02781
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
Hamasaki Masahiro 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究グループ長 (50419016)
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| Co-Investigator(Kenkyū-buntansha) |
的野 晃整 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (10443227)
大向 一輝 国立情報学研究所, 大学共同利用機関等の部局等, 准教授 (30413925)
Lynden Steven 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (30528279)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥16,120,000 (Direct Cost: ¥12,400,000、Indirect Cost: ¥3,720,000)
Fiscal Year 2017: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2016: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2015: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
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| Keywords | 情報システム / Linked Open Data / クエリ共有 / 情報推薦 / キャッシング / セマンティックウェブ / RDF / SPARQL |
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| Outline of Final Research Achievements |
In this research, we investigate query sharing among SPARQL users based on query recommendation and query caching. SPARQL is an RDF query language and it provides a powerful way to access LOD. However, it is not easy to utilize them because it requires not only techniques of SPARQL but also knowledge of datasets and vocabularies that they used for users. We developed query recommendation methods for sharing queries among users, and query caching methods to improveme searching with SPARQL queries.
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Report
(4 results)
Research Products
(13 results)
