Data, context, situation: Semantic layers for context-aware systems

Date

Nov 28, 2016

Time

2:50 PM - 4:20 PM

Speaker

Prof. Daniela Nicklas

Affiliation

Otto-Friedrich-Universität Bamberg

Language

en

Main Topic

Informatik

Other Topics

Informatik

Description

Abstract: Context-aware applications adapt their behavior according to the current situation of their user or their (often physical) environment. This adaptation could be the change of the user interface, the performance of actions (like sending messages or triggering actuators), or the change of used resources (like network bandwidth or processing power). To determine relevant situations, many heterogeneous data sources could be used, ranging from sensor data over mined patterns in files to explicit user input. Since most sensors are not perfect, context quality has to be considered. And since many context-aware applications are mobile, the set of data sources changes during runtime. All these issues make context management and reasoning, and the development of correct adaptations within context-aware applications a challenging task. This talk introduces a layered model to separate different tasks and concerns in designing data models for context-aware applications. It shows how existing works map to this layered model, and how the model can help in designing context aware applications that are better to maintain and safer to use. Bio: Since 2014, Daniela Nicklas is full professor at the University of Bamberg, Germany, and holds the Chair of Computer Science, in particular Mobile Software Systems / Mobility. Before that, she was a junior professor for database and internet technologies at the Universität Oldenburg and member of the Member of Executive Board in the Transportation division at the OFFIS institute for computer science. She came there from a PostDoc position at the Universität Stuttgart (2006-2008) where she also obtained her PhD in 2005, working on the integration of large-scale spatial context models for mobile applications. Her research interests are computer systems that bridge the gap between the physical world and the digital world. She focuses on the continuous management of data from sensors and other active data sources and their incorporation in so-called context-aware applications. Currently, she works on data stream management technologies. She applies these technologies to the domains of smart cities, smart factories, pervasive computing, intelligent transportation systems, and situational awareness in general. In 2009, she received the IBM Exploratory Stream Analytics Innovation Award for „Data Stream Technology for Future Energy Grid Control“. She is a member of many programme committees and organizing committees of pervasive computing and database conferences and workshops (e.g., PerCom, MDM, BTW, ...), and a member of the editorial boards of the Elsevier Pervasive Computing and Communication Journal, the International Journal of Pervasive Computing and Communications (Emerald), and the Datenbankspektrum (German Journal on Databases).

Last modified: Nov 22, 2016, 12:22:06 PM