Searching for Semantic Relations between Entities on the Web
| Project/Area Number |
22800010
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥3,146,000 (Direct Cost: ¥2,420,000、Indirect Cost: ¥726,000)
Fiscal Year 2011: ¥1,508,000 (Direct Cost: ¥1,160,000、Indirect Cost: ¥348,000)
Fiscal Year 2010: ¥1,638,000 (Direct Cost: ¥1,260,000、Indirect Cost: ¥378,000)
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| Keywords | 関係検索 / ウェブ工学 / ウェブマイニング / 情報抽出 / 関係抽出 / データマイニング / ドメイン / 転移学習 / 自然言語処理 / 人工知能 / 機械学習 / ドメイン適応 |
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| Research Abstract |
In this research, I developed a search system that can search for the semantic relations between named entities. In particular, I focused on the symmetries that exist in proportional analogies to accurately estimate the relational similarity between two pairs of entities. Moreover, algorithms were developed to accurately rank the search results using relational similarity. The outcome of this project was presented at AAAI 2011 and published in Elsevier Information Processing and Management Journal.
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Report
(3 results)
Research Products
(23 results)
