**************************** Call for Papers *************************** First International Workshop on Quality of Context (QuaCon '09) http://www.quacon09.nexus.uni-stuttgart.de/

25 - 26 June, 2009 Stuttgart, Germany ************************************************************************

Advances in sensor technology, wireless communication, and mobile devices lead to the proliferation of sensors in our physical environment. At the same time detailed digital models of buildings, towns, or even the globe become widely available. Integrating the huge amount of available sensor data into spatial models results in highly dynamic models of the real world, often called context models.

A wide range of applications can substantially benefit from common context models. However, context data is inherently associated with uncertainty, which has to be taken into account by both context management systems and applications. Appropriate ontologies, models, and metrics are needed to specify the quality of context data, including aspects of degradation, consistency, and trust. Those concepts are needed on different levels of abstraction, including the raw sensor data, observable context, as well as the high-level context derived from other context information by means of reasoning techniques. In addition, methods and calculi are required to assess the quality of context data on various levels.

For an integrated context-management approach a framework is needed that defines the appropriate abstraction levels and that provides quality mappings between these layers. Other important issues are application-specific quality concepts and methods to handle uncertain context data. If context data is to be presented to human users, appropriate visualizing techniques are required to present the data together with its quality assessments. On the other hand, if applications specify what level of degradation they accept, this information can be used to optimize context management by means of suitable relaxation techniques.

Research in context management and in particular context quality requires an interdisciplinary approach. Therefore, the QuaCon Workshop aims to bring together researchers from various fields to discuss approaches to context quality and to make a consolidated contribution towards an integrated way of treating context quality. Topics covered by the workshop include the following:

- Models for degradation and consistency of context data - Degradation, spatial ontologies and spatial data mining - Trust in context data - Methods and calculi for context quality assessment - Frameworks and metrics for context quality - Uncertainty in sensor data processing - Quality-aware algorithms for context management - Quality-aware event and stream processing - Uncertainty in reasoning on context data - Application-specific context quality and case studies - Visualization of context quality

Submitted papers must not have been previously published or currently submitted for publication elsewhere. All papers will be reviewed by the program committee, and accepted papers will be published in the Springer Lecture Notes in Computer Science (LNCS) Series (pending approval). All paper submissions will be handled electronically. Authors should prepare a Portable Document Format (PDF) version of their full paper. Papers must be no longer than 10 pages and be formatted according to the LNCS guidelines [1]. Papers not adhering to these guidelines or the page limit are subject to rejection without review. The deadline for submitting the paper is January 31, 2009.

For detailed submission instructions and further details please visit the QuaCon '09 website at http://www.quacon09.nexus.uni-stuttgart.de.

Important Dates ---------------

January 31, 2009 Submission of Papers March 10, 2009 Notification of Authors April 10, 2009 Camera-Ready Copies Due June 25 - 26, 2009 Workshop

QuaCon '09 Organizing and Program Committees --------------------------------------------

General chairs: Dieter Fritsch, Kurt Rothermel Center of Excellence Nexus, University of Stuttgart

Program Committee: Reynold Cheng, University of Hongkong Alois Ferscha, University of Linz Christian Freksa, University of Bremen Andrew U. Frank, Technical University of Vienna Johann-Christoph Freytag, Humboldt-Universitaet zu Berlin Hans Gellersen, University of Lancaster Christopher Gold, University of Glamorgan Michael F. Goodchild, University of California, Santa Barbara Christian S. Jensen, Aalborg University Bernhard Mitschang, University of Stuttgart Max Muehlhaeuser, Technical University Darmstadt Paddy Nixon, University College Dublin Sunil K. Prabhakar, Purdue University Kishore Ramachandran, Georgia Institute of Technology

[1] http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0