CASEMANS 2012 - Workshop on Context-Awareness for Self-Managing Systems (CASEMANS 2012)

We are witnessing the generation and sharing of various types of data at an unprecedented scale. People everywhere are using various pervasive devices and platforms to capture and share events of great and lasting consequences. Present day mobile devices can capture, process, and communicate audio and video data; integrate a large number of sensors such as accelerometer sensors, gyroscope, temperature sensors, humidity sensors, tilt sensors, infrared proximity sensors, and GPS, providing a great opportunity of interfacing computers with the physical world. Complementary to these, there are also wireless sensor nodes, adding a host of biological and chemical sensors that can be used for applications in healthcare, precision agriculture, supply-chain, and many more areas.

The CASEMANS workshop investigates modeling, reasoning, and representation techniques to process and transform raw sensor data into meaningful abstractions of real world phenomena that can trigger context-aware and self-managing systems to carry out an actuation task.