Research on Browsing-type Information Seeking Tasks and Their Support Method

2020 Fiscal Year Final Research Report

• Project/Area Number: 17K00449
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Library and information science/Humanistic social informatics
• Research Institution: University of Tsukuba
• Principal Investigator: Takaku Masao 筑波大学, 図書館情報メディア系, 准教授 (00399271)
• Project Period (FY): 2017-04-01 – 2021-03-31
• Keywords: 電子図書館 / Linked Open Data / 利活用 / 情報検索

Outline of Final Research Achievements

As a clue to support browsing-type exploration tasks, we focused on the utilization of Linked Open Data (LOD) datasets. For field-specific LOD datasets, we designed, built and published datasets for textbook LODs, intangible folk cultural properties, etc. And then we evaluated utilization methods for each dataset. In addition, as basic methodologies for cross-disciplinary fields, we developed a serendipity recommendation method using DBpedia, and a method for identifying references to scholarly literature in Wikipedia content. Performances of these methods were verified by precisions based on a correct sample dataset and metrics based on user experiments.

Free Research Field

図書館情報学

Academic Significance and Societal Importance of the Research Achievements

本研究で開発した成果は多様な領域で応用可能な手法であるとともに、一般的な研究のなかで利活用できる。とりわけ、LODデータセットそのものはウェブ上で公開データとして受け入れられており、価値が高い。