September 4, 2020, Tokyo, Japan
In conjunction with VLDB 2020
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.
This workshop 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 system such as data markets. We invites not only people from database communitiy but also reserchers and profeesionals from programming language, software engineering, distributed computiing, artificial intelligence, 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 updae 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.
This workshop solicits regular research papers describing preliminary and ongoing research results. Topics of interest include, but are not limited to: