Active Perception Over Machine and Citizen Sensing
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  Cory Henson   Cory A. Henson
Researcher
Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), Wright State University
http://knoesis.org/researchers/cory/
 
  Amit Sheth   Amit Sheth
LexisNexis Ohio Eminent Scholar, Director, Kno.e.sis Center
Ohio Center of Excellence in Knowledge-enabled computing (Kno.e.sis) , Wright State University
http://knoesis.org/amit
 


 

Tuesday, June 7, 2011
03:30 PM - 03:55 PM
Level:  Technical - Introductory

Location:  Imperial B

Today, many sensor networks and their applications employ a brute force approach to collecting and analyzing the huge volumes of sensor data currently generated. Such an approach often wastes valuable energy and computational resources by unnecessarily tasking sensors and generating observations of minimal use. People, on the other hand, have evolved sophisticated mechanisms to efficiently perceive their environment. This is accomplished through an ability to isolate the signal from the noise – by focusing attention and seeking out those observations containing useful information. With the rise of social networking technology, people are now empowered to share their observations and perceptions with the world. A satisfying integration of such knowledge with observations generated by machine sensors, however, remains elusive. In this talk, we describe and demonstrate a semantics driven active perception prototype – derived from cognitive theory – that may be used to more effectively integrate observations from both machine sensors and people in order to efficiently generate comprehensive and robust situation awareness.
  • Efficient generation of robust situation awareness.
  • Focusing attention to collect and analyze only those observations containing useful information.
  • Integration of observations from machine sensors and citizen sensing.


Cory Henson is a researcher at the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis). His primary research focus is on knowledge representation and machine perception in order to reason over sensor data and manage situation awareness. He has coauthored widely cited work on Semantic Sensor Web and led the semantic annotation task of W3C's XG on Semantic Sensor Networking.

Amit Sheth is an educator, researcher and entrepreneur. He is the LexisNexis Ohio Eminent Scholar at the Wright State University, Dayton OH. He directs Kno.e.sis - the Ohio Center of Excellence in Knowledge-enabled Computing which has one of the largest academic groups in US in Semantic Web. He is an IEEE fellow and is one of the highly cited authors in Computer Science and World Wide Web, has given 40 keynotes at conferences/workshops, is EIC of ISI indexed Intl. Journal of Semantic Web & Information Systems, is joint-EIC of Distributed & Parallel Databases, is series co-editor of two Springer book series. He has also founded and managed two successful companies. Several commercial products and many operationally deployed applications have resulted from his R&D.


   
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