Purpose – Looking at the practical experience of organizations pursuing knowledge management, it is found that their efforts are primarily focused on creating the conditions and...
Data Stream Management (DSM) addresses the continuous processing of sensor data. DSM requires the combination of stream operators, which may run on different distributed devices, ...
Gert Brettlecker, Heiko Schuldt, Peter M. Fischer,...
Incomplete information arises naturally in numerous data management applications. Recently, several researchers have studied query processing in the context of incomplete informat...
The emergence of Web 2.0 has resulted in a huge amount of heterogeneous data that are contributed by a large number of users, engendering new challenges for data management and qu...
Background: New "next generation" DNA sequencing technologies offer individual researchers the ability to rapidly generate large amounts of genome sequence data at drama...