Abstract Linked Stream Data has emerged as an effort to represent dynamic, time-
dependent data streams following the principles of Linked Data. Given the increasing …

Abstract The 2012 Dagstuhl 12321 Workshop on Robust Query Processing, held from 5--10
August 2012, brought together researchers from both academia and industry to discuss …

The internet of Things (IoT) is a data stream environment where a large scale deployment of
smart things continuously report readings. These data streams are then consumed by …

Database management systems (DBMSs) have been used successfully in traditional
business applications that require persistent data storage and an efficient querying …

Abstract The internet of Things (IoT) is a data stream environment where a large scale
deployment of smart things continuously report readings. These data streams are then …

Sensors, mobile devices and social platforms generate an immense amount of stream data
in various formats and schemata. For these areas, the idea of Linked Stream Data is to …

Complex event processing over data streams has raised a lot of attention in the database
community, especially due to the development of ubiquitous data sensing equipments …

Different from the traditional best-effort query service providing, the issue of deterministic
QoS guarantee for data stream processing is discussed. Based on the theory of network …

A growing number of real-world applications share the property that they have to deal with
transient data arriving in massive volumes, so-called data streams. The characteristics of …

In database query processing, actual run-time conditions (eg, actual selectivities and actual
available memory) very often differ from compile-time expectations of run-time conditions …