JSAI2025

Presentation information

Organized Session

Organized Session » OS-46

[3P4-OS-46b] OS-46

Thu. May 29, 2025 1:40 PM - 3:20 PM Room P (Room 801-2)

オーガナイザ:古崎 晃司(大阪電気通信大学),森田 武史(青山学院大学),黒川 茂莉(KDDI総合研究所),広田 航(ストックマーク)

3:00 PM - 3:20 PM

[3P4-OS-46b-05] Knowledge Acquisition Based on Co-occurrence Information from Literature Using Synonymous URI Dictionary and TogoID

〇Yasunori Yamamoto1, Takatomo Fujisawa2 (1. Research Organization of Information and Systems, 2. National Institute of Genetics)

Keywords:Knowledge Graph, RDF, Ontology

As more concepts in the life sciences are represented in knowledge graphs, the existence of synonymous Uniform Resource Identifiers (URIs) has made it challenging to comprehensively retrieve knowledge related to a single concept. To address this issue, we are constructing a dictionary of synonymous URIs across various knowledge graphs. Additionally, leveraging this dictionary and TogoID, a database that catalogs relationships between biological concepts, we attempt to retrieve literature in which two biologically related concepts co-occur and extract the knowledge contained within. In this presentation, we report on the current progress of this work.

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