Research


Due in part to the continued advances in hardware technologies, the diffusion of the Internet, and the increasing complexity of software systems, the area of data-intensive systems is faced with abundant research challenges. In particular, today's software systems manage large amounts of traditional and non-traditional data, including temporal, spatial, spatio-temporal, dimensional, multimedia, and semi-structured data. The center's research objective is to develop technologies that meet primarily data management needs posed by software systems in general and by data-intensive applications, in particular.

Research topics

The center's research cover the integration of data management support into general-purpose programming languages, as well as special-purpose languages for data management.

Much of the center's research relates to data warehousing and to temporal, spatial, and spatio-temporal databases. Areas of research within these topics include conceptual modeling and database design, data models, query processing, indexing, and applications.

Research related to mobile services and the world-wide-web covers semi-structured data management, location-based and context-dependent mobile services, application development, and XML-related programming.

Approach

The center's research approach has a technological focus and is primarily constructive in its outset, but also integrates experimental and analytical elements.

Constructive activities include the design of concepts and frameworks, as well as the design and implementation of algorithms, data structures, languages, tools, and systems.

Experimental activities cover the testing of constructed artifacts, including prototype-based studies and simulation-based performance studies.

Analytical activities include complexity analysis and language evaluation. The emphasis is on the development of theoretically sound results that solve actual real-world problems.

Projects

The center maintains a dynamic portfolio of research projects within this scope.

Publications

The Daisy staff publish in peer-reviewed journals and conferences. In addition, technical reports are used for early publication and for the publication of extended versions of conference papers. Technical reports on research that relates to temporal data management are typically published in the TimeCenter technical report series, while other reports are published in the DBTR series.

Other resources

The Temporal Database Glossary defines terms and concepts within the temporal data management area.