COLLOQUIUM Department of Computer Science and Engineering University of South Carolina Cory Henson Kno.e.sis Ohio Center of Excellence in Knowledge-enabled Computing Wright State University Date: March 7, 2013 Time: 1430-1530 (2:30pm-3:30pm) Place: Swearingen 1A03 (Faculty Lounge) Abstract There are an estimated 40+ billion sensors connected to mobile devices; and it has been predicted that within the next five years, sensor data from such devices will become the dominant type of information on the Web. For this data to be useful in applications, ranging from healthcare to environmental monitoring, it needs to be translated into higher-levels of abstraction (e.g., translated from observed symptoms to disorders). This act of translating low-level signals into high-level knowledge is called perception, and while people have evolved sophisticated mechanisms to efficiently perceive their environment, machines continue to struggle with the task. In this talk, I will describe a model of machine perception, Intellego, derived from cognitive theories of perception. Encoded in the Web Ontology Language (OWL), this model provides a formal semantics of perception by defining the information processes involved in collecting and interpreting heterogeneous sensor data. While the use of OWL enables advanced integration and interpretation of sensor data, the computational complexity of reasoning seriously limits its applicability and use within resource-constrained environments, such as mobile devices. To overcome this challenge, I will discuss an efficient implementation using bit-vector encodings and operations, resulting in order-of-magnitude improvements in both efficiency and scale. The applicability of this approach will be demonstrated through a real-world application in healthcare. This application, called kHealth (knowledge-enabled healthcare), provides a means for patients with chronic heart disease, and their doctors, to remotely monitor and manage their condition after release from the hospital. The kHealth application is expected to go into pre-clinical trials by the end of March. Cory Henson is a Ph.D. Candidate at Wright State University and a researcher at Kno.e.sis, the Ohio Center of Excellence in Knowledge-enabled computing. He also works at Riverside Research, a research organization spun out of Columbia University, where he collaborates on projects for the DoD and Intelligence Community. He has bachelor's degrees in both Computer Science and Cognitive Science from the University of Georgia. Cory's research revolves around Web-based data and metadata management, including knowledge representation, ontology modeling, data integration, and reasoning. More specifically, his research comprises the synergistic use of semantic web, artificial intelligence, and cognitive science to develop the theoretical foundation and practical tools needed to enable sensor data management and machine perception. This technology has exciting applications in developing smart environments and enabling more proactive, preventative healthcare. For more, see: http://knoesis.org/researchers/cory.