Implementation of an Integrated System for Editing Meta Data Using Machine Learning Techniques
Project/Area Number |
24300097
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Partial Multi-year Fund |
Section | 一般 |
Research Field |
Library and information science/Humanistic social informatics
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Research Institution | National Institute of Informatics |
Principal Investigator |
ADACHI Jun 国立情報学研究所, コンテンツ科学研究系, 教授 (80143551)
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Co-Investigator(Kenkyū-buntansha) |
OHTA Manabu 岡山大学, 自然科学研究科, 教授 (10326019)
|
Co-Investigator(Renkei-kenkyūsha) |
TAKASU Atsuhiro 国立情報学研究所, コンテンツ科学研究系, 教授 (90216648)
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Project Period (FY) |
2012-04-01 – 2015-03-31
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Project Status |
Completed (Fiscal Year 2014)
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Budget Amount *help |
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2014: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2013: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2012: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
|
Keywords | 書誌パージング / メタデータ / コーパス / CRF / 機関リポジトリ / テキストマイニング |
Outline of Final Research Achievements |
The purpose of this study is to implement a system which extracts meta data from digital documents to edit and identify the meta data accurately by matching against other databases as an integrated environment for editing such meta data. We proposed accurate and inexpensive methods to extract bibliographic and citation information as meta data from research papers of which the layout was analyzed. We also created several reference string corpora of research papers by annotating the reference strings with bibliographic information for evaluating bibliographic information extraction methods.
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Report
(4 results)
Research Products
(22 results)
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[Presentation] 学術論文からの実験情報抽出の一手法2015
Author(s)
平井 久貴, 新妻 弘崇, 太田 学, 高須 淳宏
Organizer
第7回データ工学と情報マネジメントに関するフォーラム (DEIM2015)
Place of Presentation
磐梯熱海ホテル華の湯(福島県郡山市)
Year and Date
2015-03-02 – 2015-03-04
Related Report
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