Cory Andrew Henson

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Researcher - Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing
Ph.D. Candidate - Wright State University, Advisor Dr. Amit Sheth

Look at the image to the right. How quickly were you able to realize the identity of the depicted object? The activity you just engaged in is called perception; and while people are able to perceive their environment almost instantaneously, and seemingly without effort, machines continue to struggle with the task. Currently, I am investigating how people are able to perceive the world so effectively; and developing an approximation of this process that can be formalized to better enable machines to perceive. This formalization has resulted in an ontology of perception, IntellegO, which is now being used in several distinct projects, including a weather alert service, fire detecting robots, and health-care monitoring (cardiology).

While completing my Ph.D. in Computer Science, I also act as Project Lead for the Semantic Sensor Web and editor for the W3C Semantic Sensor Network Incubator Group.

Research Projects

Semantic Web approach to Machine Perception (i.e., Abstraction)

Currently, there are many sensors collecting information about our environment, leading to an overwhelming number of observations that must be analyzed and explained in order to achieve situation awareness. As perceptual beings, we are also constantly inundated with sensory data; yet we are able to make sense out of our environment with relative ease. This is due, in part, to the bi-directional information flow between our sensory organs and analytical brain. Drawing inspiration from cognitive models of perception, we can improve machine perception by allowing communication from processes that analyze observations to processes that generate observations. Such a perceptual system provides effective utilization of resources by decreasing the cost and number of observations needed for achieving situation awareness.

Selected Publications


Semantic Sensor Web

Millions of sensors around the globe currently collect avalanches of data about our environment. The rapid development and deployment of sensor technology involves many different types of sensors, both remote and in situ, with such diverse capabilities as range, modality, and maneuverability. It is possible today to utilize networks with multiple sensors to detect and identify objects of interest up close or from a great distance. The lack of integration and communication between these networks, however, often leaves this avalanche of data stovepiped and intensifies the existing problem of too much data and not enough knowledge. With a view to alleviating this glut, we propose that sensor data be annotated with semantic metadata to provide contextual information essential for situational awareness. In particular, we present an approach to annotating sensor data with spatial, temporal, and thematic semantic metadata. This technique builds on current standardization efforts within the W3C and Open Geospatial Consortium (OGC) and extends them with semantic Web technologies to provide enhanced descriptions and access to sensor data.

Selected Publications


Trust on Semantic Sensor Web

Trust and confidence are becoming key issues in diverse applications such as ecommerce, social networks, semantic sensor web, semantic web information retrieval systems, etc. Both humans and machines use some form of trust to make informed and reliable decisions before acting. In this work, we briefly review existing work on trust networks, pointing out some of its drawbacks. We then propose a local framework to explore two different kinds of trust among agents called referral trust and functional trust, that are modelled using local partial orders, to enable qualitative trust personalization. The proposed approach formalizes reasoning with trust, distinguishing between direct and inferred trust. It is also capable of dealing with general trust networks with cycles.

Selected Publications


Publications

Google Scholar Index

2011

2010

2009

2008 (and earlier)


Professional Activities

Invited Talks


Standards Committee Member


Program Committee Member

  • 9th Extended Semantic Web Conference (ESWC 2012)
  • 2nd IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2012)
  • 4th International Conference on Advanced Geographic Information Systems, Applications, and Services (GEOProcessing 2012)
  • 5th International Conference on Advances in Semantic Processing (SEMAPRO 2011)
  • 4rd International Workshop on Semantic Sensor Networks (SSN 2011)
  • 2011 Workshop on Sensor-Enabled Situational Awareness (SESA 2011)
  • 8th Extended Semantic Web Conference (ESWC 2011)
  • 3rd International Conference on Advanced Geographic Information Systems, Applications, and Services (GEOProcessing 2011)
  • 3rd International Workshop on Semantic Sensor Networks (SSN 2010)
  • 2nd Workshop on Sensor Web Enablement (SWE 2010)
  • 7th Extended Semantic Web Conference (ESWC 2010)
  • 2nd International Workshop on Semantic Sensor Networks (SSN 2009)
  • 3rd International Conference on Geospatial Semantics (GeoS 2009)
  • 1st Workshop on Sensor Web Enablement (SWE 2009)


Education and Work Experience

Education


Work Experience


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