@techreport{oai:ipsj.ixsq.nii.ac.jp:00240547,
 author = {森, 健太郎 and 金子, 明広 and 池原, 翔太 and 宇井, 隆晴 and 山田, 哲靖 and Kentaro, Mori and Akihiro, Kaneko and Shota, Ikehara and Takaharu, Ui and Tetsuyasu, Yamada},
 issue = {6},
 month = {Nov},
 note = {法人はその法人名と所在地住所により特定可能だが，ユーザーがそれら文字列をオンラインで入力する場合，法人名と所在地住所の表記揺れ（記号文字の揺れ・略称・誤字・脱字等）により，同一性の判定が困難となる場合がある．本研究の目的は，法人名と所在地住所の文字列正規化により，法人の同一性を有効に判定するアルゴリズムの構築である．法人名と所在地住所を 4 段階に正規化した文字列の比較において，同一性を数値化し判定するアルゴリズムを紹介する．, While a corporation can be identified by its corporate name and address, variations in the input from users (such as differences in symbols, abbreviations, typographical errors, and omissions) often make it difficult to determine the identity. The objective of this study is to build an algorithm that effectively determines the identity of a corporation by normalizing the strings of the corporate name and address. Specifically, the algorithm involves normalizing the strings of the corporate name and address in four stages and comparing them to quantify and determine the identity.},
 title = {法人名と所在地住所の文字列正規化による同一性判定アルゴリズムの構築},
 year = {2024}
}