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In practice, however, this assumption turned out to be false.An advanced database system requires changes among others as the result of: (1) the evolution of data sources, (2) changes of the real world represented in an integration system, (3) the evolution of domain ontologies and knowledge bases (such as DBpedia, Free Base, Linked Open Data Cloud, Yago, etc.) usually involved in the construction of these databases, (4) new user requirements, and (5) creating simulation scenarios (what-if analysis).
The authors distinguished eight classes of programming models: (1) Mapreduce (e.g. Nowadays, it is possible to equip servers with several terabytes of main memory, which allows us to keep databases in main memory to avoid the IO bottleneck (Arnold et al. In the rest of this article, we first discuss some specific research challenges around the databases.
We also present, in Section The database and information systems technologies raise a good number of research challenges and in this section, we will discuss some of the most important ones, which are related to ADBIS conference, which represents the origin of this special section.
This for some years now, the international community regrouping states, governments, associations, and users has been closely involved in climate change by proposing initiatives to limit global warming.
The database community has spared no effort propose initiatives in this sense.
The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.
IJIIDS strives to cover all aspects of working out new intelligent technologies for information processing, creating databases and processing data.
The time to act on the basis of these data streams will often be very short.
Consequently, the traditional batch processing has to move to real time streaming.
Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences.
IJIIDS focuses on research in applications of advanced intelligent technologies for data storing/processing in a wide-ranging context, involving solutions to real-life problems in which it is necessary to apply intelligent technologies to achieve effective results.