日本データベース学会のみなさま， 阪大の鬼塚です． 東京で開催される国際会議 VLDB2020 の併設ワークショップ Workshop on Software Foundations for Data Interoperability のご案内です．データ統合・相互運用性に関する研究を広く公募します． 詳細は以下のようになっておりますので，ご投稿をご検討頂けますようよろしく お願いいたします． Workshop site: http://www.prg.nii.ac.jp/projects/biscuits/fourth-workshop/ Submission deadline June 3rd, 2020, 5pm PDT Objective: Big data processing is now widely employed in all aspects of our lives. Parts or copies of a huge amount of data are stored in separate locations, and is difficult to collect and process heterogeneous data in a centralized manner, as it would be exceedingly inefficient to transfer them over the network. We therefore need new software foundations based on which big data can be efficiently analyzed and shared in a distributed way. SFDI 2020 is a workshop held in conjunction with VLDB 2020. It aims at fostering discussion, exchange, and innovation in research and development in software foundations for data interoperability as well as the applications in real-world systems such as data markets. SFDI 2020 invites not only people form database community but also researchers and professionals from programming language, software engineering, distributed computing, and natural language processing to share their knowledge and experience. For example, bidirectional transformation has been intensively studied in both database and programming language communities to address the view update problem, and a recent trend is to use bidirectional transformation for data sharing and data interoperability in P2P networks. In addition, many machine learning and natural language processing models have been utilized for data management, especially for data integration tasks. We thus hope to bring together academia and industry people in related areas for the discussion of challenges and technical solutions to software foundations of data interoperability. SFDI 2020 solicits full and short research papers describing preliminary and ongoing research results. Topics of interest include, but are not limited to: Bidirectional Programming Data Exchange Data Fusion Data Integration Data Interoperability Data Lake Data Market Data Provenance Data Sharing Data Synchronization Distributed Collaborative Systems Distributed Data Management Entity Resolution Federated Learning Inverse Programming Large-scale Data Analysis Machine Learning for Data Management and Vice Versa Natural Language Processing P2P Data Management Query Optimization Query Parallelization Schema Mapping Semantic Web Submission Guidelines All aspects of the submission and notification process will be handled electronically. Submissions must adhere to the paper formatting instructions. Research papers will be judged for quality and relevance through single-blind reviewing, where authors MUST include their names and affiliations on the manuscript cover page. Submissions should be uploaded at CMT. Important dates Submission deadline: June 3rd, 2020, 5pm PDT Notification: July 3rd, 2020, 5pm PDT Camera-ready copy due: July 27th,2020, 5pm PDT Workshop Date: September 4th, 2020 -- Makoto Onizuka(鬼塚 真) E-mail: onizuka@ist.osaka-u.ac.jp TEL: 06-6879-7750/FAX：06-6879-7743 URL: http://www-bigdata.ist.osaka-u.ac.jp/ 〒565-0871 大阪府吹田市山田丘 1-5 大阪大学 大学院情報科学研究科 マルチメディア工学専攻 ビッグデータ工学講座（鬼塚研究室）