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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.
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