データ結合後の構造変化に基づくアプリケーション構想に有用なオープンデータ探索手法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2022/08/01

タイトル(英語): An Exploration Method of Useful Open Data for Application Ideation based on Data Structure Change after Combination of the Data

著者名: 屋代　聡（神戸大学大学院システム情報学研究科／（株）日立製作所 研究開発グループ），薦田　憲久（コーデソリューション（株）），大川　剛直（神戸大学大学院システム情報学研究科）

著者名(英語): Satoshi Yashiro (Kobe University/Research & Development Group, Hitachi, Ltd.), Norihisa Komoda (Code Solutions Co., Ltd.), Takenao Ohkawa (Kobe University)

キーワード: オープンデータ，表形式データ，組み合わせ利用，アプリケーション構想，構造変化指標_x000D_　　open data，table layout data，combinational use，application ideation，structural indicator

要約(英語): Open data is a data that is provided by public sector or social infrastructure companies like transportation service providers, and recently tried to be utilized in various applications. When plural open data are successfully used in combination for an application, its usefulness would certainly exist. However, it is a little difficult to straightly retrieve such combinable open data, and the difficulty brings a lot of trial process or go and back process in ideation and development of applications that use open data. In this paper, we propose an exploration method of useful open data for combinational use. In the method, an evaluation approach of the data for application ideation in advance to start application ideation is embedded. The method evaluates the combinability and the usefulness based on the structure change of consolidated data, especially in the amount change on its volume and attributes, also uniqueness of its cell values. The result of experiments applying the method to some actual municipal open data shows sufficient capability to distinguish the combinability and the usefulness of plural open data for application ideation.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.142 No.8 （2022） 特集Ⅰ：Smart Cityのためのセンシング/モビリティ/情報通信技術　特集Ⅱ：サステナブル社会実現に向けた情報・システム技術

本誌掲載ページ: 894-901 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/142/8/142_894/_article/-char/ja/