August 28 – 31, 2016
Prague, Czech Republic .
The main objective of the ADBIS series of conferences is to provide a forum for the dissemination of research accomplishments and to promote interaction and collaboration between the database and information systems research communities from Central and East European countries and the rest of the world. The ADBIS conferences provide an international platform for the presentation of research on database theory, development of advanced DBMS technologies, and their advanced applications.
In 2016, the ADBIS is commemorating its 20th anniversary.The ADBIS 2016 conference will be held in Prague, August 28-31, 2016 and will continue the tradition by fostering the growth and providing a platform for researchers and practitioners to present their result.
Organizer of the conference is Charles University, Faculty of Mathematics and Physics, Department of Software Engineering in co-operation with Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science
The conference will consist of regular sessions with technical contributions (regular papers, short papers) reviewed and selected by an international program committee, as well as of invited talks and tutorials presented by leading scientists. The official language of the conference will be English. Doctoral consortium and different Workshops will be held in line with the main conference.
Database technology
• optimization of databases and information systems
• modern database querying, management, cloud and big data techniques
• data warehouses, scalable systems, controlled redundancy,
• data security, privacy, integrity, adaptation
• distributed and federated databases and information system applications
• benchmarking and performance improvement, monitoring
Challenges imposed by novel applications
• big, large-scale, heterogeneous and cloud systems, multimedia data, spatial and temporal data, sensor and observation data, replication management
• data cleansing, condensation, data quality management, data duration
• data analysis, mining, knowledge discovery, OLAP, ETL, information extraction
• databases as infrastructure element, novel platforms
• specific databases, e.g. in social networks, streams
• data science, data as a service, data-intensive sciences
Database and information system foundations
• advanced database and business process modelling
• multi-model development, evolution and migration
• complex data massives, probabilistic and uncertain data
• meta-data, provenance, annotation, contextualisation, archiving, aging
• integrity constraint management, robust constraints
Codesign of databases and business processes
• advanced business process management, data management for heterogeneous and distributed processes
• optimisation of business applications
• view and event management, orchestration of information systems and workflow systems
• process-oriented data management
• networking, integration and coherence management of data, interfaces
Database and information systems analysis, design and development
• maturing analysis, design and development
• advanced modelling techniques, coexistence of semi- and fully structured data
• legacy databases, flexible integration, evolution, and migration
• methodologies for modern information system development