@techreport{oai:ipsj.ixsq.nii.ac.jp:00231495,
 author = {金沢, 輝一 and 大波, 純一 and Teruhito, Kanazawa and Jun-ichi, Onami},
 issue = {5},
 month = {Dec},
 note = {書誌情報などから構築した知識グラフには誤りや欠損が多数存在しており，自動あるいは手動による補完で実用性を向上させる工夫が行われる．たとえばコンテンツの作成者（著者）は，氏名などの一意性を保証されない情報で記録されていることが多く，そのような場合には同一人物かどうかの判別が必要である．本稿は，学術情報検索基盤 CiNii Research の知識グラフ構築における著者同定処理について解説する．CiNii Research では，科研費研究者番号を人物の一意な識別に用いて，氏名，所属，共著者，研究トピックなどの類似性に基づいた自動同定処理を行っている．情報不足などの問題から自動処理では正しい同定の困難なケースも少なくないため，推定処理の結果に矛盾が生じた際の解決処理や，推定結果を利用者からの問題指摘に基づいて操作する処理を組み入れている．, Knowledge graphs constructed from bibliographic information contain errors and deficiencies. Efforts are made to improve their usefulness through automatic or manual completion. For example, the creators (authors) of contents are often recorded with information that is not a unique identifier such as their names, and it is often necessary to determine whether the authors of contents are the same person or not. This paper describes the author identification process in the knowledge graph construction of CiNii Research, an academic information retrieval platform. It utilizes the Grant-in-Aid researcher number to uniquely identify a person, and performs automatic identification process based on similarities in name, affiliation, co-author, research topic, etc. In some cases, it is difficult to identify a person correctly by automatic process due to insufficient information. We have integrated processes for resolving inconsistencies in the results of the estimation processes and for manipulating the edges between graph nodes based on user suggestions.},
 title = {学術情報検索基盤CiNii Researchにおける知識グラフの著者同定},
 year = {2023}
}