Quality of Context: First International Workshop

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 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 benet from context models. However, context data are inherently associated with uncertainty. In general, quality of context information has to be taken into account by both context management and applications. For example, the accuracy, completeness, and trustworthiness of spatial context information such as street or building data are very important for navigation and guidance systems. QuaCon 2009 was the ?rst international scienti?c meeting that speci?cally focused on the di?erent aspects of quality of context data. Research in context management and, in particular, context quality, requires an interdisciplinary approach. Therefore, the QuaCon workshop aimed to bring together researchers fromvarious?eldstodiscussapproachestocontextqualityandtomakeacons- idated contribution toward an integrated way of treating this topic. We received 19 high-quality paper submissions by researchers from Europe, USA, and Asia. TheInternationalProgramCommitteeselected11papersforpresentationatthe workshop. Additionally, ?ve invited contributions by internationally renowned expertsin the ?eldwereincludedinthe workshopprogram.Thepresentationsat the workshop showed many facets of quality of context from di?erent research ?elds including context data management, spatial models, context reasoning, privacy, and system frameworks. The lively discussions underlined the great - terestinthistopicandinparticularledtoadeeperunderstandingoftherelations between the various aspects of quality of context.