Masatoshi Yoshikawa – författare

This book constitutes the thoroughly refereed joint post-proceedings of four international workshops held in conjunction with the 21st International Conference on Conceptual Modeling, ER 2002, in Tampere, Finland in October 2002.The 38 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on management of time and changes in information systems; architectures, models, and tools for systems evolution; conceptual modeling approaches to mobile information systems development; quality of conceptual models; requirements and entity relationship models; class models and architectures; Web and interactive models; processes, models, and Web services; e-business methods and technologies; and success factors for conceptual modeling in e-business.

Database Systems for Advanced Applications (DASFAA) is an international - rum for academic exchanges and technical discussions among researchers,dev- opers, and users of databases from academia, business, and industry. DASFAA has been a leading conference in the areas of databases, large-scale data m- agement, data mining, and the Web. Workshops of the 15th DASFAA were held in Tsukuba, Japan on April 4, 2010. These proceedings contain papers of DASFAA2010 workshops. Among the proposals submitted in response to the call-for-workshops, we decided to hold the following six workshops: - First International Workshop on Graph Data Management: Techniques and Applications (GDM 2010) - Second International Workshop on Benchmarking of Database Management Systems and Data-Oriented Web Technologies (BenchmarX 2010) - Third International Workshop on Managing Data Quality in Collaborative Information Systems (MCIS 2010) - Workshop on Social Networks and Social Media Mining on the Web (SNSMW 2010) - Data-Intensive eScience Workshop (DIEW 2010) - Second International Workshop on Ubiquitous Data Management (UDM 2010) TheresearchareaofDASFAAisgrowingrapidly. Thetopicsofeachworkshop cover speci?c area of DASFAA and complement topics of the main conference.Wearegratefultotheworkshoporganizersfortheire?ortinsolicitingpapers, selecting papers by peer review, and preparing attractive programs. We would like to express our appreciation to Qiang Ma, Lifeng Sun and Takayuki Yumoto for their dedicated work. Our thanks also goes to Chiemi Watanabe for her hard work in preparing this proceedings volume.

This book summarizes the results of solving the two issues from a 5-year national project in Japan, called Bidirectional Information Systems for Collaborative, Updatable, Interoperable, and Trusted Sharing (BISCUITS) since 2017, with researchers from the National Institute of Informatics, Osaka University, Kyoto University, Nanzan University, Hosei University, Tohoku University, and University of Tokyo. It provides a big picture of the research results, insights, and the new perspectives achieved during the project, paving the way for future further investigation.Along with the continuous evolution of data management systems for the new market requirements, we are moving from centralized systems, which had often led to vast and monolithic databases, toward decentralized systems, where data are maintained in different sites with autonomous storage and computation capabilities. A common practice is the collaboration or acquisition of companies: there is a large demand for different systems to be connected to provide valuable services to users, yet each company has its own goal and often builds its own applications and database systems independently without federating with others. As a result, we need to construct a decentralized system by integrating the independently built databases through schema matching, data transformation, and update propagation from one database to another.There are two fundamental issues with such decentralized systems, local privacy and global consistency. By local privacy, the owner of the data stored on a site may wish to control and share data by deciding what information should be exposed and how its information should be used and updated by other systems. By global consistency, the systems may wish to have a globally consistent view of all data, integrate data from different sites, perform analysis through queries, and update the integrated data.

This book summarizes the results of solving the two issues from a 5-year national project in Japan, called Bidirectional Information Systems for Collaborative, Updatable, Interoperable, and Trusted Sharing (BISCUITS) since 2017, with researchers from the National Institute of Informatics, Osaka University, Kyoto University, Nanzan University, Hosei University, Tohoku University, and University of Tokyo. It provides a big picture of the research results, insights, and the new perspectives achieved during the project, paving the way for future further investigation.Along with the continuous evolution of data management systems for the new market requirements, we are moving from centralized systems, which had often led to vast and monolithic databases, toward decentralized systems, where data are maintained in different sites with autonomous storage and computation capabilities. A common practice is the collaboration or acquisition of companies: there is a large demand for different systems to be connected to provide valuable services to users, yet each company has its own goal and often builds its own applications and database systems independently without federating with others. As a result, we need to construct a decentralized system by integrating the independently built databases through schema matching, data transformation, and update propagation from one database to another.There are two fundamental issues with such decentralized systems, local privacy and global consistency. By local privacy, the owner of the data stored on a site may wish to control and share data by deciding what information should be exposed and how its information should be used and updated by other systems. By global consistency, the systems may wish to have a globally consistent view of all data, integrate data from different sites, perform analysis through queries, and update the integrated data.