Difference between revisions of "Cory Andrew Henson"

Revision as of 15:25, 24 November 2011

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

• An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web (Applied Ontology, 2011)
• Active Perception Over Machine and Citizen Sensing (Presentation at SemTech, 2011)
• Representation of Parsimonious Covering Theory in OWL-DL (presentation) (OWLED, 2011)

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

• Semantic Sensor Network XG Final Report (W3C Incubator Group Report, 2011)
• SemSOS: Semantic Sensor Observation Service (CTS, 2009)
• Semantic Sensor Web (IEEE Internet Computing, 2008)

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

• Some Trust Issues in Social Networks and Sensor Networks (CTS, 2010)
• A Local Qualitative Approach to Referral and Functional Trust (IICAI, 2009)

Publications

Google Scholar Index

2011

• An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web
  • Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
  • Applied Ontology, 2011.
• SECURE: Semantics Empowered resCUe Environment (Demonstration Paper) (demo)
  • Pratikkumar Desai, Cory Henson, Pramod Anantharam, Amit Sheth
  • 4th International Workshop on Semantic Sensor Networks (SSN 2011)
• Demonstration: Real-Time Semantic Analysis of Sensor Streams (prototype, demo)
  • Harshal Patni, Cory Henson, Michael Cooney, Amit Sheth, and Krishnaprasad Thirunarayan
  • 4th International Workshop on Semantic Sensor Networks (SSN 2011)
• Semantic Sensor Network XG Final Report
  • Laurent Lefort, Cory Henson, Kerry Taylor (editors)
  • W3C Incubator Group Report
• Representation of Parsimonious Covering Theory in OWL-DL (presentation)
  • Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Pascal Hitzler
  • 8th International Workshop on OWL: Experiences and Directions (OWLED 2011)
• From Real Time Sensor Streams to Real Time Feature Streams
  • Harshal Patni, Cory Henson, Amit Sheth, and Pramod Anantharam
  • Kno.e.sis Technical Report, 2011.

2010

• Trust Model for Semantic Sensor and Social Networks: A Preliminary Report
  • Pramod Anantharam,Cory Henson,Krishnaprasad Thirunarayan and Amit Sheth
  • 2010 National Aerospace & Electronics Conference (NAECON)
• Provenance Aware Linked Sensor Data
  • Harshal Patni, Satya S. Sahoo, Cory Henson, and Amit Sheth
  • 2nd Workshop on Trust and Privacy on the Social and Semantic Web, 2010
• Linked Sensor Data
  • Harshal Patni, Cory Henson, and Amit Sheth
  • 2010 International Symposium on Collaborative Technologies and Systems (CTS 2010)
• Some Trust Issues in Social Networks and Sensor Networks
  • Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, and Amit Sheth
  • 2010 International Symposium on Collaborative Technologies and Systems (CTS 2010)
• Sensor Discovery on Linked Data
  • Joshua Pschorr, Cory Henson, Harshal Patni, and Amit P. Sheth
  • Kno.e.sis Technical Report, 2010.

2009

• A Survey of the Semantic Specification of Sensors
  • Michael Compton, Cory Henson, Laurent Lefort, Holger Neuhaus, and Amit Sheth
  • 2nd International Workshop on Semantic Sensor Networks (SSN 2009)
• A Local Qualitative Approach to Referral and Functional Trust
  • Krishnaprasad Thirunarayan, Dharan Althuru, Cory Henson, and Amit Sheth
  • 4th Indian International Conference on Artificial Intelligence (IICAI-09)
• An Ontological Representation of Time Series Observations on the Semantic Sensor Web
  • Cory Henson, Holger Neuhaus, Amit Sheth, Krishnaprasad Thirunarayan, and Rajkumar Buyya
  • 2nd International Workshop on Semantic Sensor Networks (SSN 2009)
• SemSOS: Semantic Sensor Observation Service
  • Cory Henson, Josh Pschorr, Amit Sheth, and Krishnaprasad Thirunarayan
  • 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009)
• Situation Awareness via Abductive Reasoning for Semantic Sensor Data: A Preliminary Report
  • Krishnaprasad Thirunarayan, Cory Henson, and Amit Sheth
  • 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009)

2008 (and earlier)

• Semantic Sensor Web
  • Amit Sheth, Cory Henson, and Satya Sahoo
  • IEEE Internet Computing, July/August 2008
• Video on the Semantic Sensor Web
  • Cory Henson, Amit Sheth, Prateek Jain, Josh Pschorr, and Terry Rapoch
  • W3C Video on the Web Workshop, 2007

Professional Activities

Invited Talks

• Dagstuhl Seminar, Semantic Challenges in Sensor Networks (2010): Can Sensors Play 20 Questions?

Standards Committee Member

• Editor for the W3C Semantic Sensor Network Incubator Group (SSN XG): Final Report, 2011

Program Committee Member

• ESWC 2012: The 2012 Extended Semantic Web Conference
• CogSIMA 2012: IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support
• GEOProcessing 2012: The 4th International Conference on Advanced Geographic Information Systems, Applications, and Services
• SEMAPRO 2011: International Conference on Advances in Semantic Processing
• SSN 2011: The 2011 International Semantic Web Conference (ISWC 2011), 4rd International Workshop on Semantic Sensor Networks
• SESA 2011: The 12th International Conference on Distributed Computing and Networking (ICDCN 2011), Workshop on Sensor-Enabled Situational Awareness
• ESWC 2011: The 2011 Extended Semantic Web Conference
• GEOProcessing 2011: The Third International Conference on Advanced Geographic Information Systems, Applications, and Services
• SSN 2010: The 2010 International Semantic Web Conference (ISWC 2010), 3rd International Workshop on Semantic Sensor Networks
• SWE 2010: The 2010 International Symposium on Collaborative Technologies and Systems (CTS 2009), Workshop on Sensor Web Enablement
• ESWC 2010: The 2010 Extended Semantic Web Conference
• SSN 2009: The 2009 International Semantic Web Conference (ISWC 2009), 2nd International Workshop on Semantic Sensor Networks
• GeoS 2009: The Third International Conference on Geospatial Semantics
• SWE 2009: The 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009), Workshop on Sensor Web Enablement

Education and Work Experience

Education

• Ph.D. Candidate, Computer Science and Engineering, Wright State University, January 2007 - Present
• B.A., Cognitive Science, University of Georgia, August 2005
• B.S., Computer Science, University of Georgia, December 2002

Work Experience

• Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing -- Research Assistant (Jan. 2007 - Present)
• Air Force Research Lab (AFRL), Sensors Directorate -- Fellowship (2008 - 2011)
• Defense Intelligence Agency (DIA), National MASINT Office (NMO) -- Internship (June - Aug. 2010)
• Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, and CSIRO Tasmanian ICT Center -- Internship (Jan. - March 2009)
• Large Scale Distributed Information Systems Laboratory (LSDIS), University of Georgia -- Research Assistant (May 2005 - Dec. 2006)
• Complex Carbohydrate Research Center (CCRC), University of Georgia -- Student Worker (Sept. 2004 - May 2005)