2017 Fiscal Year Final Research Report
Scholarly Paper Search System Using Multiple Similarity Measures
| Project/Area Number |
15K00310
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | FUJITSU LABORATORIES LTD. |
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Principal Investigator |
Baba Kensuke 株式会社富士通研究所, その他部局等, 研究員(移行) (70380681)
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| Co-Investigator(Kenkyū-buntansha) |
南 俊朗 九州情報大学, 経営情報学部, 教授 (80315150)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | データマイニング / テキストマイニング / 計量書誌学 / 検索システム / 剽窃検知 |
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| Outline of Final Research Achievements |
Researchers are required to grasp the essence of rapidly increasing scholarly papers in their survey activity. The objective of this research is to develop a scholarly paper search system which realizes a high recall, that is, with a small number of oversights. We developed a system which can find papers related to an input paper, using a similarity measure obtained by applying statistical analyses to text data of scholarly papers in addition to usual measures used in existing systems.
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| Free Research Field |
情報科学
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