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Fundamental research for hypothesis generation and explanation in social big data applications

Research Project

Project/Area Number 20K12081
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 62020:Web informatics and service informatics-related
Research InstitutionTokyo Metropolitan University

Principal Investigator

Ishikawa Hiroshi  東京都立大学, システムデザイン研究科, 特任教授 (60326014)

Co-Investigator(Kenkyū-buntansha) 廣田 雅春  岡山理科大学, 総合情報学部, 講師 (70750628)
Project Period (FY) 2020-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2020: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Keywordsビッグデータ / モデル / 仮説生成 / 説明基盤 / データモデル / 仮説生成方法 / 説明機能 / ソーシャルデータ / 実世界データ
Outline of Research at the Start

多様なソーシャルビッグデータ応用に共通する仮説生成のパタンを発見し,分野専門家が複数データを利用した統合的仮説の生成を行える方法論の体系化・一般化を目指して,データ管理とデータ分析を融合した応用の記述ができる手段として概念レベルでのモデルを提供し,そのモデルに基づき仮説生成方式を提供することにより,仮説生成方法を再利用可能にする.またソーシャルビッグデータを実際に利活用する上で求められるミクロな説明(分析モデルの説明とその個別の決定に対する理由の説明)及びマクロな説明(モデル生成を含む応用の全プロセスの説明)からなる統合的な説明のための基盤技術を開発し,それを社会基盤的な応用に適用する.

Outline of Final Research Achievements

We proposed a data model using SQL that can describe the subsystem processes of data management and data analysis based on concepts at different levels in a high-level form, and use it to describe the entire hypothesis generation procedure in social big data applications and we showed that it is possible. In addition to systematizing the difference method, we also considered a hypothesis generation method that focuses on data overlapping and mutual complementation. We implemented an explanatory method that does not depend on individual analysis models based on explanatory functions based on attributes or components, and confirmed its validity. With the cooperation of JAXA, the Tokyo Metropolitan Government, and others, we verified the validity of the developed technology by applying it to multiple use cases. The results have been published in several publications (Japanese and English), journals, and international conferences.

Academic Significance and Societal Importance of the Research Achievements

本研究は当該分野の学術的研究(ソーシャルビッグデータサイエンス)の地平を自然科学,医学などへ広げることが期待できる.構築した仮説生成方法論を社会基盤的応用に適用して,方法論の再利用可能性を示すことにより,その妥当性の検証を行い,統合モデルの理論とその実践の道を開き,さらに統合的説明基盤の適用により,ソーシャルビッグデータの利活用と流通を促進する.それらを媒介として,これまで縁遠かった異業種セクタ(JAXA,自動車関連企業,観光系シンクタンクなど)が協業できるようなダイナミックな知的社会(Society5.0)の実現を加速することが期待できる点で,本研究は創造的であり社会的意義も十分に高い.

Report

(5 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (55 results)

All 2024 2023 2022 2021 2020 Other

All Int'l Joint Research (8 results) Journal Article (16 results) (of which Peer Reviewed: 14 results,  Open Access: 4 results) Presentation (28 results) (of which Int'l Joint Research: 16 results) Book (3 results)

  • [Int'l Joint Research] UPPA(フランス)

    • Related Report
      2023 Annual Research Report
  • [Int'l Joint Research] 台湾国立曁南国際大学/台湾国立台北大学(その他の国・地域)

    • Related Report
      2023 Annual Research Report
  • [Int'l Joint Research] UPPA(フランス)

    • Related Report
      2022 Research-status Report
  • [Int'l Joint Research] 台湾国立曁南国際大学(その他の国・地域)

    • Related Report
      2022 Research-status Report
  • [Int'l Joint Research] UPPA(フランス)

    • Related Report
      2021 Research-status Report
  • [Int'l Joint Research] 台湾国立曁南国際大学(その他の国・地域)

    • Related Report
      2021 Research-status Report
  • [Int'l Joint Research] UPPA(フランス)

    • Related Report
      2020 Research-status Report
  • [Int'l Joint Research] 台湾国立曁南国際大学(その他の国・地域)

    • Related Report
      2020 Research-status Report
  • [Journal Article] Quality Control Methods Using Quality Characteristics in Development and Operations2024

    • Author(s)
      Kato Daiju、Ishikawa Hiroshi
    • Journal Title

      Digital

      Volume: 4 Issue: 1 Pages: 232-243

    • DOI

      10.3390/digital4010012

    • Related Report
      2023 Annual Research Report
  • [Journal Article] Time-Series Estimation of the Best Time to View Seasonal Organisms Using Geotagged Tweets and Co-occurring Words2024

    • Author(s)
      Takamori Yusuke、Sato Junya、Sato Ryoga、Iha Asahi、Endo Masaki、Terada Kenji、Ohno Shigeyoshi、Ishikawa Hiroshi
    • Journal Title

      MEDES

      Volume: 1 Pages: 347-360

    • DOI

      10.1007/978-3-031-51643-6_25

    • ISBN
      9783031516429, 9783031516436
    • Related Report
      2023 Annual Research Report
  • [Journal Article] Estimating the Best Time to View Cherry Blossoms Using Time-Series Forecasting Method2022

    • Author(s)
      Tomonari Horikawa, Munenori Takahashi, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, Hiroshi Ishikawa
    • Journal Title

      Machine Learning and Knowledge Extraction

      Volume: 4 Pages: 418-431

    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Performance Evaluation of High Availability Database Systems Using Low-latency I/O Devices2022

    • Author(s)
      Shinji Fujiwara, Riro Senda, Isamu Kaneko, Hiroshi Ishikawa
    • Journal Title

      Journal of Information Processing

      Volume: 30 Pages: 179-188

    • NAID

      130008159963

    • Related Report
      2022 Research-status Report 2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] Estimating deflation representing people spreading in stream data and estimating a specific position2022

    • Author(s)
      Takuma Toyoshima, Masaki Endo, Takuo Kikuchi, Shigeyoshi Ohno, Hiroshi Ishikawa
    • Journal Title

      Int. J. Intell. Inf. Database Syst.

      Volume: 15 Pages: 104-123

    • Related Report
      2022 Research-status Report
    • Peer Reviewed
  • [Journal Article] Spot extraction and analysis using an automatic detection method of tourist spots using SNS2022

    • Author(s)
      Munenori Takahashi, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, Hiroshi Ishikawa
    • Journal Title

      Int. J. Intell. Inf. Database Syst.

      Volume: 15 Pages: 6-27

    • Related Report
      2022 Research-status Report
    • Peer Reviewed
  • [Journal Article] Spot extraction and analysis using an automatic detection method of tourist spots using SNS2022

    • Author(s)
      Munenori Takahashi, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, Hiroshi Ishikawa
    • Journal Title

      International Journal of Intelligent Information and Database Systems

      Volume: 15 Pages: 6-27

    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] Estimating Deflation Representing People Spreading in Stream Data and Estimating a Specific Position2022

    • Author(s)
      Toyoshima Takuma、Endo Masaki、Kikuchi Takuo、Ohno Shigeyoshi、Ishikawa Hiroshi
    • Journal Title

      International Journal of Intelligent Information and Database Systems

      Volume: 15 Pages: 104-123

    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] 宇宙線反粒子識別を対象とした機械学習の応用と根拠の可視化2022

    • Author(s)
      今福 拓海,石川 博, 荒木 徹也, 山本 幸生, 福家 英之, 清水 雄輝, 和田 拓也, 中上 裕輔
    • Journal Title

      宇宙科学情報解析論文誌

      Volume: 11 Pages: 37-43

    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] Estimating a Specific Position Related to an Event for Deflation Detection2021

    • Author(s)
      Takuma Toyoshima, Takuo Kikuchi, Masaki Endo, Shigeyoshi Ohno, and Hiroshi Ishikawa
    • Journal Title

      International Journal of Informatics Society

      Volume: 13 Pages: 23-31

    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] Analytical Method using Geotagged Tweets Developed for Tourist Spot Extraction and Real-time Analysis2021

    • Author(s)
      Masaki Endo, Munenori Takahashi, Masaharu Hirota, Makoto Imamura, Hiroshi Ishikawa
    • Journal Title

      International Journal of Informatics Society

      Volume: 12 Pages: 157-165

    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] 月面の中央丘クレーターの特性に関する関係式の導出2021

    • Author(s)
      今福拓海, 山本幸生, 大竹真紀子, 廣田雅春, 荒木徹也, 石川博
    • Journal Title

      宇宙科学情報解析論文誌

      Volume: JAXA-RR-20-010 Pages: 77-85

    • URL

      http://id.nii.ac.jp/1696/00047373/

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] 半教師あり学習を用いた深発月震の震源ラベルの再付与の検討2021

    • Author(s)
      中島康平, 山本幸生, 山田竜平, 廣田雅春, 荒木徹也, 石川博
    • Journal Title

      宇宙科学情報解析論文誌

      Volume: JAXA-RR-20-010 Pages: 87-95

    • URL

      http://id.nii.ac.jp/1696/00047374/

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Social Big Data: Concepts and Theory2021

    • Author(s)
      Hiroshi Ishikawa, Yukio Yamamoto
    • Journal Title

      Springer Nature Trans. Large Scale Data Knowl. Centered Syst.

      Volume: 47 Pages: 51-79

    • DOI

      10.1007/978-3-662-62919-2_3

    • ISBN
      9783662629185, 9783662629192
    • Related Report
      2020 Research-status Report
    • Peer Reviewed
  • [Journal Article] Social Big Data: Case Studies2021

    • Author(s)
      Hiroshi Ishikawa, Yasushi Miyata
    • Journal Title

      Springer Nature Trans. Large Scale Data Knowl. Centered Syst.

      Volume: 47 Pages: 80-111

    • DOI

      10.1007/978-3-662-62919-2_4

    • ISBN
      9783662629185, 9783662629192
    • Related Report
      2020 Research-status Report
    • Peer Reviewed
  • [Journal Article] Less-Known Tourist Attraction Discovery Based on Geo-Tagged Photographs2020

    • Author(s)
      Jhih-Yu Lin, Shu-Mei Wen, Masaharu Hirota, Tetsuya Araki, Hiroshi Ishikawa
    • Journal Title

      MDPI Mach. Learn. Knowl. Extr.

      Volume: 2,4 Issue: 4 Pages: 414-435

    • DOI

      10.3390/make2040023

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Relation between time-series forecasting methods and estimation of best times to see cherry blossoms2023

    • Author(s)
      Asahi Iha;Kenji Terada;Masaki Endo;Tsuyoshi Tanaka;Shigeyoshi Ohno;Hiroshi Ishikawa
    • Organizer
      INFSOC IWIN
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimating the best time to view cherry blossoms using Natural Language Processing tasks2023

    • Author(s)
      Ryoga Sato;Yusuke Takamori;Kenji Terada;Masaki Endo;Tsuyoshi Tanaka;Shigeyoshi Ohno;Hiroshi Ishikawa
    • Organizer
      INFSOC IWIN
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ジオタグ付きツイートを用いた観光情報の推定2022

    • Author(s)
      藤本雅大, 高森勇佑, 佐藤淳哉, 大野成義, 石川博
    • Organizer
      第21回情報科学技術フォーラム (FIT2022)
    • Related Report
      2022 Research-status Report
  • [Presentation] Quality Classification for Testing Work in DevOps2022

    • Author(s)
      Daiju Kato, Ayumu Shimizu, Hiroshi Ishikawa
    • Organizer
      ACM MEDES
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] Verification of the Best Time to See Cherry Blossoms Estimation Method using Time Series Prediction Method2022

    • Author(s)
      Junya Sato, Yusuke Takamori, Masahiro Fujimoto, Tomonari Horikawa, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, Hiroshi Ishikawa
    • Organizer
      INFSOC International Workshop on Informatics
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] Current Status of Examples of Initiatives Using Open Data in Government2022

    • Author(s)
      Yusuke Takamori, Junya Sato, Masahiro Fujimoto, Daiju Kato, Masaki Endo, Shigeyoshi Ohno, Hiroshi Ishikawa
    • Organizer
      The Fourteenth International Conference on Advances in Multimedia (MMEDIA 2022)
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] Numerical estimation of new COVID-19 positive cases using time series analysis by machine learning2021

    • Author(s)
      Yusuke Takamori, Riku Watanabe, Daiju Kato, Masaki Endo, Hiroshi Ishikawa
    • Organizer
      ACM MEDES
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Attractive area detection of telemetry corresponding to command2021

    • Author(s)
      Yukio Yamamoto, Hiroshi Ishikawa
    • Organizer
      ACM MEDES
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Estimating the best time to see cherry blossoms using SNS and time-series forecasting of tweet numbers using machine learning2021

    • Author(s)
      Tomonari Horikawa, Munenori Takahashi, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, Hiroshi Ishikawa
    • Organizer
      INFSOC International Workshop on Informatics
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] 応対履歴におけるQ A作成手法の検証と考察2021

    • Author(s)
      三浦 拓也,土田 正士, 石川 博
    • Organizer
      ARG 第17回Webインテリジェンスとインタラクション研究会
    • Related Report
      2021 Research-status Report
  • [Presentation] 宇宙線反粒子識別を対象とした機械学習の応用と根拠の可視化2021

    • Author(s)
      今福 拓海, 石川 博, 山本 幸生, 荒木 徹也, 福家 英之, 清水 雄輝
    • Organizer
      2020年度宇宙科学情報解析シンポジウム
    • Related Report
      2020 Research-status Report
  • [Presentation] 敵対的生成ネットワークを用いた月面の高解像度DEM の生成2021

    • Author(s)
      小野寺 康祐, 山本 幸生, 荒木 徹也, 石川 博
    • Organizer
      2020年度宇宙科学情報解析シンポジウム
    • Related Report
      2020 Research-status Report
  • [Presentation] ロジスティック回帰による深発月震の分類に寄与する周波数帯の可視化2021

    • Author(s)
      中島 康平, 山本 幸生, 山田 竜平, 荒木 徹也, 廣田 雅春, 石川 博
    • Organizer
      2020年度宇宙科学情報解析シンポジウム
    • Related Report
      2020 Research-status Report
  • [Presentation] 新規生成月面クレーターの検出手法の提案2021

    • Author(s)
      柴山 拓也, 石川 博, 山本 幸生, 荒木 徹也
    • Organizer
      2020年度宇宙科学情報解析シンポジウム
    • Related Report
      2020 Research-status Report
  • [Presentation] Coverage Analysis Method Using Quality Characteristics2020

    • Author(s)
      Daiju Kato, Hiroshi Ishikawa
    • Organizer
      IWESQ@APSEC
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Data Management in Japanese Planetary Explorations for Big Data Era2020

    • Author(s)
      Yukio Yamamoto, Hiroshi Ishikawa
    • Organizer
      ACM WiMS
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Automatic detection method of tourist spots using SNS2020

    • Author(s)
      Munenori Takahashi, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, Hiroshi Ishikawa
    • Organizer
      ACM WiMS
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] A Method for Ranking Tourist Attractions based on Geo-tagged Photographs and Image Quality Assessment2020

    • Author(s)
      Jhih-Yu Lin, Shu-Mei Wen, Masaharu Hirota, Tetsuya Araki, Hiroshi Ishikawa
    • Organizer
      ACM WiMS
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Concept Drift Detection on Data Stream for Revising DBSCAN Cluster2020

    • Author(s)
      Yasushi Miyata, Hiroshi Ishikawa
    • Organizer
      ACM WiMS
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Estimating Deflation Representing People Spreading in Stream Data2020

    • Author(s)
      Takuma Toyoshima, Masaki Endo, Takuo Kikuchi, Shigeyoshi Ohno, Hiroshi Ishikawa
    • Organizer
      ACM WiMS
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] To estimate a specific position related to an event2020

    • Author(s)
      Takuma Toyoshima, Masaki Endo, Takuo Kikuchi, Shigeyoshi Ohno, and Hiroshi Ishikawa
    • Organizer
      IWIN
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Automatic detection of tourist spots and best-time estimation using social network services2020

    • Author(s)
      Munenori Takahashi, Masaki Endo, Shigeyoshi Ohno, Masaharu Hirota, and Hiroshi Ishikawa
    • Organizer
      IWIN
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] 運転者の視線を考慮した運転難易度評価の検討と特定地域の分析2020

    • Author(s)
      福島秀敏, 荒木徹也, 石川博
    • Organizer
      ARG WI2研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] SNSを利用した観光情報の特徴量化と地域間の類似性の分析2020

    • Author(s)
      劉瀚聡, 荒木徹也, 遠藤雅樹, 石川博
    • Organizer
      ARG WI2研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 応対履歴におけるQA関連付け手法の考察2020

    • Author(s)
      蔦ヶ谷文月, 土田正士, 石川博
    • Organizer
      ARG WI2研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] 深層学習による少数学習データでの2次元データの高品質化手法の提案2020

    • Author(s)
      石原正敏, 荒木徹也, 石川博
    • Organizer
      ARG WI2研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] SNSを用いたトレンドスポットの検出の検討2020

    • Author(s)
      中田朋寛, 宮坂和希, 三浦拓也, 荒木徹也, 土田正士, 山根康男, 平手守浩, 眞浦雅夫, 石川博
    • Organizer
      ARG WI2研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] SNSを用いた短期間イベント分析2020

    • Author(s)
      宮坂和希, 中田朋寛, 三浦拓也, 荒木徹也, 土田正士, 山根康男, 平手守浩, 眞浦雅夫,石川博
    • Organizer
      ARG WI2研究会
    • Related Report
      2020 Research-status Report
  • [Book] Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications2024

    • Author(s)
      Hiroshi Ishikawa
    • Total Pages
      384
    • Publisher
      Springer Nature
    • ISBN
      9783031435393
    • Related Report
      2023 Annual Research Report
  • [Book] モダンSQL : データ管理から分析へ2023

    • Author(s)
      石川 博、土田 正士、遠藤 雅樹、山本 幸生
    • Total Pages
      496
    • Publisher
      共立出版
    • ISBN
      9784320125698
    • Related Report
      2023 Annual Research Report
  • [Book] 仮説のつくりかた: 多様なデータから新たな発想をつかめ2021

    • Author(s)
      石川 博
    • Total Pages
      320
    • Publisher
      共立出版
    • ISBN
      4320124766
    • Related Report
      2021 Research-status Report

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Published: 2020-04-28   Modified: 2025-01-30  

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