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ナカモト ユキカズ
Yukikazu Nakamoto
中本 幸一 所属 ノートルダム清心女子大学 情報デザイン学部 情報デザイン学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2024/05/02 |
| 形態種別 | 研究論文（学術雑誌） |
| 査読 | 査読あり |
| 標題 | A MongoDB Document Reconstruction Support System Using Natural Language Processing |
| 執筆形態 | 共著 |
| 掲載誌名 | Software 2024 |
| 掲載区分 | 国外 |
| 出版社・発行元 | MDPI |
| 巻・号・頁 | 3(2),pp.206-225 |
| 総ページ数 | 20 |
| 担当区分 | 最終著者 |
| 著者・共著者 | Kohei Hamaji and Yukikazu Nakamoto, |
| 概要 | MongoDB is a database that stores data in the JSON format, where the upper field involves lower fields and fields with the same related parent. One feature of this document-oriented database is that data are dynamically stored in an arbitrary location without explicitly defining a schema in advance. This flexibility violates the above property and causes difficulties for application program readability and database maintenance. To address these issues, we propose a reconstruction support method for document structures in MongoDB. The method uses the strength of the Has-A relationship between the parent and child fields, as well as the similarity of field names in the MongoDB documents in natural language processing, to reconstruct the data structure in MongoDB. As a result, the method transforms the parent and child fields into more coherent data structures. We evaluated our methods using real-world data and demonstrated their effectiveness. |