Ontology alignment method based on multiple strategy learning
Project/Area Number |
19680008
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Research Category |
Grant-in-Aid for Young Scientists (A)
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
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Research Institution | National Institute of Informatics |
Principal Investigator |
ICHISE Ryutaro National Institute of Informatics, 情報学プリンシプル研究系, 准教授 (00332156)
|
Project Period (FY) |
2007 – 2009
|
Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥15,470,000 (Direct Cost: ¥11,900,000、Indirect Cost: ¥3,570,000)
Fiscal Year 2009: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2008: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2007: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
|
Keywords | 知能情報処理 / 機械学習 / 人工知能 / インターネット高度化 |
Research Abstract |
We developed high performance ontology alignment method based on multiple strategy learning. In addition to it, we developed practical dataset used for evaluating ontology alignment methods.
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Report
(4 results)
Research Products
(22 results)
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[Journal Article] Results of the Ontology Alignment Evaluation Initiative 20082008
Author(s)
Caterina Caracciolo, Jerome Euzenat, Laura Hollink, Ryutaro Ichise, Antoine Isaac, Veronique Malaise, Christian Melicke, Juan Pane, Pavel Shvaiko, Heiner Stuckenschmidt, Ondrej Svab, Vojtech Svatek
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Journal Title
Proceedings of the 3rd International Workshop on Ontology Matching
Pages: 73-119
Related Report
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