Developing a Document Retrieval Technique Using Improved Co-citation Networks

2017 Fiscal Year Final Research Report

• Project/Area Number: 26730163
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Library and information science/Humanistic social informatics
• Research Institution: Gakushuin Women's College
• Principal Investigator: ETO Masaki 学習院女子大学, 国際文化交流学部, 准教授 (10584807)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 情報図書館学 / 情報システム / 情報検索 / 共引用 / 引用索引 / 文脈情報 / ネットワーク / 情報推薦

Outline of Final Research Achievements

This research developed a novel document retrieval technique based on co-citation networks that were improved by word-based linkages. Specifically, this research proposed two ideas: 'satellite documents' and 'rough co-citation' as keys to effectively enlarge co-citation networks. Results of the information retrieval experiments showed that the proposed retrieval methods, which used co-citation networks enlarged by these ideas, outperformed a baseline retrieval method using original co-citation networks.

Free Research Field

情報検索