Difference between revisions of "Cory Andrew Henson"

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[[File:Cory1.png|300px|thumb|right]]
  
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Researcher - [http://knoesis.wright.edu/ Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing]
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Semantic Web researcher at the [http://knoesis.wright.edu/ Kno.e.sis Center], Ph.D. candidate at [http://wright.edu Wright State University] (with advisor [http://knoesis.wright.edu/amit/ Amit Sheth]), and research staff member at [http://www.riversideresearch.org/ Riverside Research]. My focus has been on developing semantic technologies for the representation, management, and interpretation of sensor data, both on the Web and on resource-constrained devices (such as smart phones). Among other exiting applications, this technology is currently being used within an mHealth application to monitor and manage chronic diseases, such as heart failure and asthma.
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Ph.D. Candidate - [http://wright.edu Wright State University], Advisor [http://knoesis.wright.edu/amit/ Dr. Amit Sheth]
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<br/><br/>
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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).
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While completing a Ph.D. in Computer Science, I also act as project lead for the [http://wiki.knoesis.org/index.php/SSW Semantic Sensor Web] and editor for the [http://www.w3.org/2005/Incubator/ssn/XGR-ssn/ W3C Semantic Sensor Network Incubator Group].  
  
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While completing my Ph.D. in Computer Science, I also act as Project Lead for the [http://wiki.knoesis.org/index.php/SSW Semantic Sensor Web] and editor for the [http://www.w3.org/2005/Incubator/ssn/XGR-ssn/ W3C Semantic Sensor Network Incubator Group].
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Additional information
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<br/><br/>
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* [http://www.linkedin.com/profile/view?id=6044128 LinkedIn]
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* [http://plus.google.com/101566381856265047892 G+]
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* [http://scholar.google.com/citations?hl=en&user=vdvzlBYAAAAJ Google Scholar]
  
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==Research Projects==
 
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===Perception and Analysis of Sensor Data===
 
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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.
 
  
 +
==Research Projects==
 
===Semantic Sensor Web===
 
===Semantic Sensor Web===
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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.
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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, Semantic Sensor Web is a framework for managing heterogeneity among sensor descriptions and sensor observation data through semantic modeling and annotation to enable advanced Web-based data integration, query, and inference. This project has helped to initiate a W3C Incubator Group, the Semantic Sensor Network XG, and develop a standard ontology and semantic annotation framework. These tools are achieving broad adoption and application within the sensing community for managing sensor data on the Web. [http://knoesis.org/projects/ssw/ SSW Project]
  
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===Semantic Modeling and Annotation of Sensor Data===
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<strong>Selected Publications</strong>
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Ontologies and other semantic technologies can be key enabling technologies for sensor networks because they will improve semantic interoperability and intergration, as well as facilitate reasoning, classification and other types of assurance and automation not included in the OGC standards. A semantic sensor network will allow the network, its sensors and the resulting data to be organised, installed and managed, queried, understood and controlled through high-level specifications. Ontologies for sensors will provide a framework for describing sensors. These ontologies will allow classification and reasoning on the capabilities and measurements of sensors, provenance of measurements and may allow reasoning about individual sensors as well as reasoning about the connection of a number of sensors as a macroinstrument. The sensor ontologies will, to some degree, reflect the OGC standards and, given ontologies that can encode sensor descriptions, understanding how to map between the ontologies and OGC models is an important consideration. Semantic annotation of sensor descriptions and services that support sensor data exchange and sensor network management will serve a similar purpose as that espoused by semantic annotation of Web services. This research is conducted through the [http://www.w3.org/2005/Incubator/ssn/charter W3C Semantic Sensor Network Incubator Group (SSN-XG)] activity.
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* [http://knoesis.wright.edu/library/resource.php?id=1659 The SSN Ontology of the W3C Semantic Sensor Network Incubator Group] (Journal of Web Semantics, 2012)
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* [http://www.knoesis.org/library/resource.php?id=1635 Semantic Sensor Network XG Final Report] (W3C Incubator Group Report, 2011)
 +
* [http://knoesis.wright.edu/library/resource.php?id=00596 SemSOS: Semantic Sensor Observation Service] (CTS, 2009)
 +
* [http://knoesis.wright.edu/library/resource.php?id=00311 Semantic Sensor Web] (IEEE Internet Computing, 2008)
 +
<br/>
  
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===Trust on Semantic Sensor Web===
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=== Semantic approach to Machine Perception ===
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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.
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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. Semantic Perception is a computational framework, inspired by cognitive models of human perception, to derive actionable intelligence and situational awareness from low-level sensor data. The formalization of this ability utilizes prior knowledge encoded in domain ontologies, and hybrid abductive/deductive reasoning, to translate low-level observations into high-level abstractions. A declarative specification defined in OWL allows prior knowledge available on the Web, and annotated with Semantic Web languages, to be easily integrated into the framework.
 +
 
 +
<strong>Selected Publications</strong>
 +
* [http://www.knoesis.org/library/resource.php?id=1682 Semantic Perception: Converting Sensory Observations to Abstractions] (IEEE Internet Computing, March/April 2012)
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* [http://www.knoesis.org/library/resource.php?id=1633 An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web] (Applied Ontology, 2011)
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<br/>
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===Intelligence at the Edge===
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Intelligence at the Edge is a framework that enables efficient and scalable execution of machine perception on resource-constrained devices, such as mobile phones and gateway nodes, by downscaling semantic processing. This is accomplished through the use of bit-vector encodings and operations to efficiently represent domain knowledge and implement the semantic perception algorithms. This approach has demonstrated dramatic order-of-magnitude improvements in both efficiency and scale, with run-time execution reduced from minutes to milliseconds, problem size (i.e., allowable size of domain ontology) increased from tens of concepts to thousands, and computational complexity reduced from polynomial to linear.
 +
 
 +
<strong>Selected Publications</strong>
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* [http://www.knoesis.org/library/resource.php?id=1772 An Efficient Bit Vector Approach to Semantics-based Machine Perception in Resource-Constrained Devices] (ISCW 2012) - [http://videolectures.net/iswc2012_henson_constrained_devices/ Video Presentation]
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<br/>
  
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===Analysis of Streaming Sensor Data===
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{{#widget:SlideShare
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Sensors are increasingly being deployed for continuous monitoring of physical phenomena, resulting in avalanche of sensor data. Current sensor data streams provide summaries (e.g., min., max., avg.) of how phenomena change over time; however, such summaries are of little value to decision makers attempting to attain an insight or an intuitive awareness of the situation. Feature-streams, on the other hand, provide a higher-level of abstraction over the sensor data and provide actionable knowledge useful to the decision maker. This work presents an approach to generate feature-streams in real-time. This is accomplished through the application of ontological domain knowledge in order to integrate multiple, multimodal, heterogeneous low-level sensor data streams and infer the existence of real-world events like Blizzard, RainStorm etc. The generated feature-streams are publicly accessible on the Linked Open Data (LOD) Cloud.
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|id=25750699
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|width=425
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|height=355
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}}
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<br/><br/>
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===kHealth - Knowledge-enabled Healthcare===
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kHealth – Knowledge-enabled Healthcare is a platform which integrates data from passive and active sensing (including both machine and human sensors) with background knowledge from domain ontologies, semantic reasoning, and mobile computing environments to help people make decisions to improve health, fitness, and wellbeing. kHealth utilizes technology from Semantic Sensor Web, Semantic Perception, and Intelligence at the Interface to enable advanced healthcare applications. Currently we are developing an app with OSU to reduce preventable hospital readmissions of patients with Acute Decompensated Heart Failure. [http://knoesis.org/projects/khealth kHealth Project]
 
<br/><br/>
 
<br/><br/>
  
 
==Publications==
 
==Publications==
 
[http://scholar.google.com/citations?hl=en&user=vdvzlBYAAAAJ Google Scholar Index]
 
[http://scholar.google.com/citations?hl=en&user=vdvzlBYAAAAJ Google Scholar Index]
 +
* Citation count: 1066
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* H-index: 14
  
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===2011===
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<br/>
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* [http://www.knoesis.org/library/resource.php?id=1633 An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web]
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<strong>Ph.D. Dissertation</strong>
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** Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
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<br/><br/>
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** in Applied Ontology, 2011.
+
−
* [http://www.knoesis.org/library/resource.php?id=1631 SECURE: Semantics Empowered resCUe Environment (Demonstration Paper)] ([http://www.youtube.com/watch?v=gHn9aCt9zQU demo])
+
−
** Pratikkumar Desai, Cory Henson, Pramod Anantharam, Amit Sheth
+
−
** 4th International Workshop on Semantic Sensor Networks (SSN 2011)
+
−
* [http://knoesis.wright.edu/library/resource.php?id=1585 Demonstration: Real-Time Semantic Analysis of Sensor Streams] ([http://knoesis1.wright.edu/EventStreams prototype], [http://www.youtube.com/watch?v=_ews4w_eCpg demo])
+
−
** Harshal Patni, Cory Henson, Michael Cooney, Amit Sheth, and Krishnaprasad Thirunarayan
+
−
** 4th International Workshop on Semantic Sensor Networks (SSN 2011)
+
−
* [http://www.knoesis.org/library/resource.php?id=1635 Semantic Sensor Network XG Final Report]
+
−
** Laurent Lefort, Cory Henson, Kerry Taylor (editors)
+
−
** W3C Incubator Group Report
+
−
* [http://www.knoesis.org/library/resource.php?id=1546 Representation of Parsimonious Covering Theory in OWL-DL] ([http://knoesis.org/library/resource.php?id=1549 presentation])
+
−
** Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Pascal Hitzler
+
−
** 8th International Workshop on OWL: Experiences and Directions (OWLED 2011)
+
−
* [http://knoesis.org/library/resource.php?id=1004 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===
+
[http://knoesis.wright.edu/library/resource.php?id=1948 A Semantics-based Approach to Machine Perception]
−
* [http://knoesis.wright.edu/library/resource.php?id=836 Trust Model for Semantic Sensor and Social Networks: A Preliminary Report]
+
* Cory Henson
−
** Pramod Anantharam,Cory Henson,Krishnaprasad Thirunarayan and Amit Sheth
+
* Committee: Amit Sheth (advisor), Krishnaprasad Thirunarayan, Payam Barnaghi, Satya Sahoo, and John Gallagher
−
** 2010 National Aerospace & Electronics Conference (NAECON)
+
* Wright State University, 2013
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* [http://knoesis.wright.edu/library/resource.php?id=800 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
+
−
* [http://knoesis.wright.edu/library/resource.php?id=780 Linked Sensor Data]
+
−
** Harshal Patni, Cory Henson, and Amit Sheth
+
−
** 2010 International Symposium on Collaborative Technologies and Systems (CTS 2010)
+
−
* [http://knoesis.wright.edu/library/resource.php?id=798 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)
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−
* [http://knoesis.org/library/resource.php?id=851 Sensor Discovery on Linked Data]
+
−
** Joshua Pschorr, Cory Henson, Harshal Patni, and Amit P. Sheth
+
−
** Kno.e.sis Technical Report, 2010.
+
  
−
===2009===
+
<br/>
−
* [http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-522/p6.pdf A Survey of the Semantic Specification of Sensors]
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<strong>World Wide Web Consortium (W3C) Reports</strong>
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** Michael Compton, Cory Henson, Laurent Lefort, Holger Neuhaus, and Amit Sheth
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<br/><br/>
−
** 2nd International Workshop on Semantic Sensor Networks (SSN 2009)
+
 
−
* [http://knoesis.wright.edu/library/resource.php?id=00474 A Local Qualitative Approach to Referral and Functional Trust]
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[http://www.knoesis.org/library/resource.php?id=1635 Semantic Sensor Network XG Final Report]
−
** Krishnaprasad Thirunarayan, Dharan Althuru, Cory Henson, and Amit Sheth
+
* Laurent Lefort, Cory Henson, Kerry Taylor (editors)
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** 4th Indian International Conference on Artificial Intelligence (IICAI-09)
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* W3C Incubator Group Report, 2011
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* [http://knoesis.wright.edu/library/resource.php?id=00475 An Ontological Representation of Time Series Observations on the Semantic Sensor Web]
+
−
** Cory Henson, Holger Neuhaus, Amit Sheth, Krishnaprasad Thirunarayan, and Rajkumar Buyya
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−
** 2nd International Workshop on Semantic Sensor Networks (SSN 2009)
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−
* [http://knoesis.wright.edu/library/resource.php?id=00596 SemSOS: Semantic Sensor Observation Service]
+
−
** Cory Henson, Josh Pschorr, Amit Sheth, and Krishnaprasad Thirunarayan
+
−
** 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009)
+
−
* [http://knoesis.wright.edu/library/resource.php?id=00595 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)
+
  
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===2008===
 
−
* [http://knoesis.wright.edu/library/resource.php?id=00311 Semantic Sensor Web]
 
−
** Amit Sheth, Cory Henson, and Satya Sahoo
 
−
** IEEE Internet Computing, July/August 2008
 
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* [http://knoesis.wright.edu/library/resource.php?id=00211 Video on the Semantic Sensor Web]
 
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** Cory Henson, Amit Sheth, Prateek Jain, Josh Pschorr, and Terry Rapoch
 
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** W3C Video on the Web Workshop, 2007
 
 
<br/>
 
<br/>
 +
<strong>Edited Proceedings</strong>
 +
<br/><br/>
  
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== Professional Activities ==
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[http://www.computer.org/portal/web/computingnow/iscfp1 Proceedings of the IEEE Intelligent Systems: Special Issue on the Web of Things]
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=== Standards Committee Member ===
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* Payam Barnaghi, Cory Henson, Amit Sheth, Liuqing Yang  (editors)
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* SSN-XG: W3C Semantic Sensor Network Incubator Group [http://www.w3.org/2005/Incubator/ssn/XGR-ssn/ Final Report]
+
* IEEE Intelligent Systems, November/December 2013 (in progress)
 +
 
 +
[http://knoesis.org/ssn2013/ Proceedings of the 6th International Workshop on Semantic Sensor Networks]
 +
* Cory Henson, Oscar Corcho, Payam Barnaghi (editors)
 +
* CEUR-WS.org, October 1, 2013 (in progress)
 +
 
 +
[http://ceur-ws.org/Vol-904/ Proceedings of the 5th International Workshop on Semantic Sensor Networks]
 +
* Cory Henson, Kerry Taylor, Oscar Corcho (editors)
 +
* CEUR-WS.org, vol. 904, November 1, 2012
  
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=== Program Committee Member ===
 
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* ESWC 2012: The 2012 Extended Semantic Web Conference
 
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* CogSIMA 2012: IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support
 
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* GEOProcessing 2012: The 4th International Conference on Advanced Geographic Information Systems, Applications, and Services
 
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* SEMAPRO 2011: International Conference on Advances in Semantic Processing
 
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* SSN 2011: The 2011 International Semantic Web Conference (ISWC 2011), 4rd International Workshop on Semantic Sensor Networks
 
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* SESA 2011: The 12th International Conference on Distributed Computing and Networking (ICDCN 2011), Workshop on Sensor-Enabled Situational Awareness
 
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* ESWC 2011: The 2011 Extended Semantic Web Conference
 
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* GEOProcessing 2011: The Third International Conference on Advanced Geographic Information Systems, Applications, and Services
 
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* SSN 2010: The 2010 International Semantic Web Conference (ISWC 2010), 3rd International Workshop on Semantic Sensor Networks
 
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* SWE 2010: The 2010 International Symposium on Collaborative Technologies and Systems (CTS 2009), Workshop on Sensor Web Enablement
 
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* ESWC 2010: The 2010 Extended Semantic Web Conference
 
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* SSN 2009: The 2009 International Semantic Web Conference (ISWC 2009), 2nd International Workshop on Semantic Sensor Networks
 
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* GeoS 2009: The Third International Conference on Geospatial Semantics
 
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* SWE 2009: The 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009), Workshop on Sensor Web Enablement
 
 
<br/>
 
<br/>
 +
<strong>Journal Publications</strong>
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<br/><br/>
  
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== About Me ==
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[http://knoesis.org/library/resource.php?id=1904 Semantics Driven Approach for Knowledge Acquisition from EMRs]
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=== Education ===
+
* Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Suhas Nair
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* Ph.D. Candidate, Computer Science and Engineering, Wright State University, January 2007 - Present
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* IEEE Journal of Biomedical Health Informatics: Special Issue on Data Mining in Bioinformatics, Biomedicine and Healthcare Informatics, 2013
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* B.A., Cognitive Science, University of Georgia, August 2005
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* B.S., Computer Science, University of Georgia, December 2002
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[http://knoesis.wright.edu/library/resource.php?id=1875 Comparative Trust Management with Applications: Bayesian Approaches Emphasis]
 +
* Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, Amit Sheth
 +
* Journal of Future Generation Computer Systems (FGCS), May 2013
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=1816 Physical-Cyber-Social Computing: An Early 21st Century Approach]
 +
* Amit Sheth, Pramod Anantharam, and Cory Henson
 +
* IEEE Intelligent Systems, 2013
 +
 
 +
[http://www.knoesis.org/library/resource.php?id=1682 Semantic Perception: Converting Sensory Observations to Abstractions]
 +
* Cory Henson, Amit Sheth, and Krishnaprasad Thirunarayan
 +
* IEEE Internet Computing, Special Issue on Context-Aware Computing, March/April 2012
 +
 
 +
[http://www.knoesis.org/library/resource.php?id=1773 Semantics for the Internet of Things: Early Progress and Back to the Future]
 +
* Payam Barnaghi, Wei Wang, Cory Henson, and Kerry Taylor
 +
* International Journal on Semantic Web and Information Systems (IJSWIS): Special issue on Sensor Networks, Internet of Things, and Smart Devices, 2012
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=1659 The SSN Ontology of the W3C Semantic Sensor Network Incubator Group]
 +
* Michael Compton, Payam Barnaghi, Luis Bermudez, Raul Garcia-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit Sheth, Kerry Taylor
 +
* Journal of Web Semantics, 2012
 +
 
 +
[http://www.knoesis.org/library/resource.php?id=1633 An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web]
 +
* Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
 +
* Applied Ontology, 2011
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00311 Semantic Sensor Web]
 +
* Amit Sheth, Cory Henson, and Satya Sahoo
 +
* IEEE Internet Computing, July/August 2008
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00310 Semantic Provenance for eScience: Managing the Deluge of Scientific Data]
 +
* Satya Sahoo, Amit Sheth, and Cory Henson
 +
* IEEE Internet Computing, July/August 2008
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00018 GLYDE: An Expressive XML Standard for the Representation of Glycan Structure]
 +
* Satya Sahoo, Christopher Thomas, Amit Sheth, Cory Henson, and William York
 +
* Carbohydrate Research, 2005
 +
 
 +
<br/>
 +
<strong>Conference Publications</strong>
 +
<br/><br/>
 +
 
 +
[http://www.knoesis.org/library/resource.php?id=1772 An Efficient Bit Vector Approach to Semantics-based Machine Perception in Resource-Constrained Devices] ([http://www.slideshare.net/andrewhenson/iswc2012-semanticsbasedmachineperception-15189325 presentation])
 +
* Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
 +
* 11th International Semantic Web Conference (ISWC) 2012
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=1782 Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment in Healthcare]
 +
* Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Suhas Nair
 +
* International Conference on Bioinformatics and Biomedicine (BIBM), 2012
 +
 
 +
[http://www.knoesis.org/library/resource.php?id=1761 Computing Perception from Sensor Data]
 +
* Payam Barnaghi, Frieder Ganz, Cory Henson, and Amit Sheth
 +
* IEEE Sensors Conference, 2012
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=836 Trust Model for Semantic Sensor and Social Networks: A Preliminary Report]
 +
* Pramod Anantharam,Cory Henson,Krishnaprasad Thirunarayan and Amit Sheth
 +
* National Aerospace & Electronics Conference (NAECON), 2010
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00713 SPARQL Query Re-writing for Spatial Datasets Using Partonomy Based Transformation Rules]
 +
* Prateek Jain, Peter Yeh, Kunal Verma, Cory Henson, and Amit Sheth
 +
* 3rd International Conference on Geospatial Semantics (GeoS), 2009
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00474 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), 2009
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00596 SemSOS: Semantic Sensor Observation Service]
 +
* Cory Henson, Josh Pschorr, Amit Sheth, and Krishnaprasad Thirunarayan
 +
* International Symposium on Collaborative Technologies and Systems (CTS), 2009
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00595 Situation Awareness via Abductive Reasoning for Semantic Sensor Data: A Preliminary Report]
 +
* Krishnaprasad Thirunarayan, Cory Henson, and Amit Sheth
 +
* International Symposium on Collaborative Technologies and Systems (CTS), 2009
 +
 
 +
<br/>
 +
<strong>Workshop Publications</strong>
 +
<br/><br/>
 +
 
 +
[http://www.knoesis.org/library/resource.php?id=1631 SECURE: Semantics Empowered Rescue Environment]
 +
* Pratikkumar Desai, Cory Henson, Pramod Anantharam, Amit Sheth
 +
* 4th International Workshop on Semantic Sensor Networks (SSN), 2011
 +
 
 +
[http://www.knoesis.org/library/resource.php?id=1697 Real-Time Semantic Analysis of Sensor Streams]
 +
* Harshal Patni, Cory Henson, Michael Cooney, Amit Sheth, and Krishnaprasad Thirunarayan
 +
* 4th International Workshop on Semantic Sensor Networks (SSN), 2011
 +
 
 +
[http://www.knoesis.org/library/resource.php?id=1546 Representation of Parsimonious Covering Theory in OWL-DL]
 +
* Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Pascal Hitzler
 +
* 8th International Workshop on OWL: Experiences and Directions (OWLED), 2011
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=800 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
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=780 Linked Sensor Data]
 +
* Harshal Patni, Cory Henson, and Amit Sheth
 +
* 1st Workshop on Sensor Web Enablement (SWE), 2010
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=798 Some Trust Issues in Social Networks and Sensor Networks]
 +
* Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, and Amit Sheth
 +
* 2nd International Workshop on Collaborative Trusted Sensing (TS), 2010
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=1032 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
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00475 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
 +
 
 +
[http://knoesis.wright.edu/library/resource.php?id=00211 Video on the Semantic Sensor Web]
 +
* Cory Henson, Amit Sheth, Prateek Jain, Josh Pschorr, and Terry Rapoch
 +
* W3C Video on the Web Workshop, 2007
 +
<br/>
 +
 
 +
==Intellectual Property Applications==
 +
<strong>Intellego Semantic Perception Technology</strong> (in progress)
 +
* Inventors: Amit Sheth, Cory Henson, Krishnaprasad Thirunarayan
 +
* Description: Intellego Semantic Perception Technology consists of an ontology of perception and a reasoning capability to convert low-level data, such as sensor observations, into high-level abstractions supporting human-level comprehension and insight, situation awareness, and decision-making applications.
 +
<br/>
 +
<strong>kHealth - Knowledge-enabled Healthcare</strong> (in progress)
 +
* Inventors: Amit Sheth, Cory Henson, Krishnaprasad Thirunarayan, Pramod Anantharam, Sujan Perera
 +
* Description: khealth integrates data from passive and active sensing (including both machine and human sensors) with background knowledge from domain ontologies, semantic reasoning, and mobile computing environments to help people make decisions to improve health, wellness and fitness.
 +
<br/>
 +
 
 +
==Awards and Recognition==
 +
* Winner of the <strong>2013 WSU Graduate Student Excellence Award</strong> for Ph.D. in Computer Science and Engineering
 +
* <strong>Featured profile</strong> by WSU Newsroom: [http://webapp2.wright.edu/web1/newsroom/2013/03/04/data-master-student-researcher-fusing-web-sensors-to-create-thinking-life-saving-devices/ Data Master: Student researcher fusing Web, sensors to create thinking, life-saving devices]
 +
* <strong>Most downloaded paper</strong> (paid) in IEEE Internet Computing in 2012 (700 paid downloads): [http://www.computer.org/csdl/mags/ic/2012/02/mic2012020026-abs.html Semantic Perception: Converting Sensory Observations to Abstractions]
 +
* Member of the [http://www.wright.edu/honors/the-program/phi-kappa-phi Honor Society of Phi Kappa Phi]
 +
* WSU ranked [http://cse.wright.edu/news/wsu-shares-2nd-place-world-web-research 2nd in the world for University research in Web technologies]
 +
<br/>
 +
 
 +
==Professional Activities==
 +
<strong>Invited Talks and Tutorials</strong>
 +
* <strong>Keynote</strong> talk at the [http://www.iot-week.eu/iot-week-2012/programme-1/tuesday-1/semantic-interoperability IERC AC4 Semantic Interoperability Workshop (2012)]: [http://www.knoesis.org/library/resource.php?id=1721 W3C Semantic Sensor Networks: Ontologies, Applications, and Future Directions]
 +
* <strong>Tutorial</strong> at the 18th International Conference on Knowledge Engineering and Knowledge Management (2012): [http://knoesis.org/iot-tutorial-ekaw2012/ Data Modeling and Knowledge Engineering for the Internet of Things] ([http://www.slideshare.net/andrewhenson/data-modelling-and-knowledge-engineering-for-the-internet-of-things presentation])
 +
* Invited talk at <strong>Dagstuhl Seminar 12221</strong> (2012), [http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=12221 Cognitive Approaches for the Semantic Web]: Semantics of Machine Perception ([http://www.dagstuhl.de/mat/Files/12/12221/12221.HensonCory.ExtAbstract.pdf abstract], [http://www.knoesis.org/library/resource.php?id=1722 presentation])
 +
* Invited talk at <strong>Dagstuhl Seminar 10042</strong> (2010), [http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=10042 Semantic Challenges in Sensor Networks]: Can Sensors Play 20 Questions?
 +
* Invited talk at the Semantic Technology Conference (2011): [http://knoesis.org/library/resource.php?id=1548 Active Perception Over Machine and Citizen Sensing]
 +
* Invited Talk at the Semantic Technology Conference (2008): [http://knoesis.org/library/resource.php?id=00302 Semantic Sensor Web]
 +
<br/>
 +
 
 +
<strong>Community Engagement</strong>
 +
* <strong>Co-chair</strong> of the [http://knoesis.org/ssn2013/ 6th International Workshop on Semantic Sensor Networks (SSN 2013)]
 +
* <strong>Co-chair</strong> of the [http://knoesis.org/ssn2012/ 5th International Workshop on Semantic Sensor Networks (SSN 2012)]: [http://knoesis.org/ssn2012/ SSN 2012]
 +
* <strong>Guest Editor</strong> of the [http://www.computer.org/portal/web/computingnow/iscfp1 IEEE Intelligent Systems: Special Issue on the Web of Things (2013)]
 +
* <strong>Guest Editor</strong> of the [http://www.semantic-web-journal.net/blog/call-special-issue-cognitive-science-and-semantic-web Semantic Web Journal: Special Issue on Cognitive Science and the Semantic Web]
 +
* <strong>Editor</strong> of the W3C Semantic Sensor Network Incubator Group (SSN XG): [http://www.w3.org/2005/Incubator/ssn/XGR-ssn/ Final Report, 2011]
 +
* <strong>Editorial Board Member</strong> of the [http://www.iariajournals.org/intelligent_systems/index.html International Journal on Advances in Intelligent Systems]
 +
<br/>
 +
 
 +
<strong>Program Committee Member</strong>
 +
* 12th International Semantic Web Conference ([http://iswc2013.semanticweb.org/ ISWC 2013])
 +
* 10th Extended Semantic Web Conference ([http://2013.eswc-conferences.org/ ESWC 2013])
 +
* 3rd IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support ([http://www.cogsima2013.org/ CogSIMA 2013])
 +
* 5th International Workshop on Semantic Sensor Networks ([http://knoesis.org/ssn2012/ SSN 2012])
 +
* 23rd Midwest Artificial Intelligence and Cognitive Science Conference ([http://maics.org MAICS 2012])
 +
* 18th International Conference on Knowledge Engineering and Knowledge Management ([http://ekaw2012.ekaw.org/ EKAW 2012])
 +
* 9th Extended Semantic Web Conference ([http://2012.eswc-conferences.org/ ESWC 2012])
 +
* 2nd IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support ([http://www.cogsima2012.org/ CogSIMA 2012])
 +
* 4th International Conference on Advanced Geographic Information Systems, Applications, and Services ([http://www.iaria.org/conferences2012/GEOProcessing12.html GEOProcessing 2012])
 +
* 5th International Conference on Advances in Semantic Processing ([http://www.iaria.org/conferences2011/SEMAPRO11.html SEMAPRO 2011])
 +
* 4rd International Workshop on Semantic Sensor Networks ([http://research.ict.csiro.au/conferences/ssn/ssn11 SSN 2011])
 +
* 2011 Workshop on Sensor-Enabled Situational Awareness ([http://cert.ics.uci.edu/sesa2011/ SESA 2011])
 +
* 8th Extended Semantic Web Conference ([http://www.eswc2011.org/ ESWC 2011])
 +
* 3rd International Conference on Advanced Geographic Information Systems, Applications, and Services ([http://www.iaria.org/conferences2011/GEOProcessing11.html GEOProcessing 2011])
 +
* 3rd International Workshop on Semantic Sensor Networks ([http://research.ict.csiro.au/conferences/ssn/ssn10 SSN 2010])
 +
* 2nd Workshop on Sensor Web Enablement ([http://www.ncsa.illinois.edu/Conferences/SWE2010/ SWE 2010])
 +
* 7th Extended Semantic Web Conference ([http://www.eswc2010.org/ ESWC 2010])
 +
* 2nd International Workshop on Semantic Sensor Networks ([http://research.ict.csiro.au/conferences/ssn/ssn09 SSN 2009])
 +
* 3rd International Conference on Geospatial Semantics ([http://www.geosco.org/geos2009/ GeoS 2009])
 +
* 1st Workshop on Sensor Web Enablement (SWE 2009)
 +
<br/>
 +
 
 +
== Education ==
 +
<strong>Doctor of Philosophy (Ph.D.) in Computer Science and Engineering</strong>
 +
* September 2013 - [http://www.wright.edu/ Wright State University] - Dayton, OH
 +
* Advisor: [http://knoesis.wright.edu/amit/ Dr. Amit Sheth]
 +
* Dissertation: A Semantics-based Approach to Machine Perception
 +
<br/>
 +
<strong>Bachelor of Arts (B.A.) in Cognitive Science</strong>
 +
* August 2005 - [http://www.uga.edu/ University of Georgia] - Athens, GA
 +
<br/>
 +
<strong>Bachelor of Science (B.S.) in Computer Science</strong>
 +
* December 2002 - [http://www.uga.edu/ University of Georgia] - Athens, GA
 +
<br/>
 +
 
 +
== Work Experience ==
 +
<strong>Graduate Research Assistant - [http://knoesis.wright.edu/ Kno.e.sis Center], Wright State University</strong>
 +
<br/>
 +
January 2007 - Present
 +
* Project lead for the [http://knoesis.org/projects/ssw Semantic Sensor Web Lab]
 +
* Developing a standard sensor data management platform with formal ontology and semantic annotation framework that is used to integrate, query, and analyze heterogeneous sensor observation data on the Web. Resulting in a standard sensor ontology published by the World Wide Web Consortium (W3C).
 +
* Designing and implementing a machine perception technology, called Intellego, to translate low-level sensor observation data into high-level situation awareness, leveraging prior-knowledge on the Web. Resulting in two intellectual property disclosures; and currently used at the OSU Wexner Medical Center in order to reduce preventable hospital re-admissions of patients with Acute Decompensated Heart Failure.
 +
<br/>
 +
 
 +
<strong>Research Staff Member - [http://www.riversideresearch.org/ Riverside Research]</strong>
 +
<br/>
 +
October 2011 - Present
 +
* Collaborating with the National MASINT Office (NMO) at the Defense Intelligence Agency (DIA) to develop a controlled vocabulary for Measurement and Signature Intelligence (MASINT), which will enable the annotation and query of MASINT related documents.
 +
* Creating a Web-based sensor catalog service to discover sensor assets and resources through federated search over data from multiple government agencies.
 +
<br/>
 +
 
 +
<strong>Fellowship - [http://www.wpafb.af.mil/AFRL/ Air Force Research Lab (AFRL)], Sensors Directorate</strong>
 +
<br/>
 +
2008 - 2011
 +
* Designed architectures to support secure semantic sensor networks for multi-layered sensing
 +
<br/>
 +
 
 +
<strong>Internship - [http://www.dia.mil/ Defense Intelligence Agency (DIA)], National MASINT Office (NMO)</strong>
 +
<br/>
 +
June - August 2010
 +
* Investigated and published an official report on the suitability of various Web-based metadata standards and domain languages to represent knowledge about chemical, biological, radiological, and nuclear (CBRN) sensors and related complex events.
 +
<br/>
 +
 
 +
<strong>Internship - [http://www.cloudbus.org/ Cloud Computing and Distributed Systems (CLOUDS) Laboratory], University of Melbourne, Australia</strong>
 +
<br/>
 +
January - April 2009
 +
* Collaborated in the development of a semantics-enabled sensor observation Web service. Particularly focused on the representation, integration, query, and inference of time-series data.
 +
<br/>
 +
 
 +
<strong>Research Staff Member - [http://lsdis.cs.uga.edu/ Large Scale Distributed Information Systems Laboratory (LSDIS)], University of Georgia</strong>
 +
<br/>
 +
September 2005 - December 2006
 +
* Assisted in the development of an enhanced EMR system, ASEMR, which uses Semantic Web technologies to reduce medical errors, improve physician efficiency with accurate completion of patient charts, and improve billing due to more accurate coding.  ASEMR has been deployed and in daily use for managing all patient records at the Athens Heart Center since January 2006.
 +
<br/>
 +
 
 +
<strong>Undergraduate Research Assistant - [http://lsdis.cs.uga.edu/ Large Scale Distributed Information Systems Laboratory (LSDIS)], University of Georgia</strong>
 +
<br/>
 +
2004 - 2005
 +
* Assisted in the development of several ontology models and knowledge-bases in the domain of bioinformatics; including a Glycomics ontology and a Proteomics ontology used for the automated semantic annotation of data and provenance metadata within a scientific experiment workflow at the Complex Carbohydrate Research Center.
 +
<br/>
 +
 
 +
== Funding and Proposals ==
 +
<strong>Air Force Research Lab (AFRL) Broad Agency Announcement (BAA)</strong>
 +
* SIDFOT - Sensors Integration for Data Fusion in Operations and Training
 +
* in collaboration with Ball Aerospace
 +
* 2011 - 2013, <strong>$200,188</strong>
 +
<br/>
 +
 
 +
<strong>Air Force Research Lab (AFRL) Broad Agency Announcement (BAA)</strong>
 +
* Trusted Semantic Sensor Networks to Support Decision Making over Massive Amounts of Sensor and Social Data
 +
* in collaboration with Riverside Research
 +
* 2011 - 2012, <strong>$267,156</strong>
 +
<br/>
 +
 
 +
<strong>Air Force Research Lab (AFRL) / Dayton Area Graduate Studies Institute (DAGSI) Fellowship</strong>
 +
* Architectures for Secure Semantic Sensor Networks for Multi-Layered Sensing
 +
* 2009 - 2011, <strong>$153,000</strong>
 +
<br/>
  
−
=== Work Experience ===
+
<strong>Air Force Research Lab (AFRL) Broad Agency Announcement (BAA)</strong>
−
* Research Assistant (Jan. 2007 - Present): Kno.e.sis -- Ohio Center of Excellence in Knowledge-enabled Computing
+
* Trusted Semantic Sensor Networks to support Architecture Analysis for Layered Sensing – Modeling, Simulations, and Analysis Technology (MSAT) Program (with SAIC)
−
* Fellowship (2008 - 2011): Sensors Directorate, Air Force Research Lab (AFRL), Wright Patterson Air Force Base (WPAFB)
+
* in collaboration with Science Applications International Corporation (SAIC)
−
* Internship (June - Aug. 2010): National MASINT Office (NMO), Defense Intelligence Agency (DIA)
+
* 2009 - 2011, <strong>$359,576</strong>
−
* Internship (Jan. - March 2009): GRIDS Lab (University of Melbourne), and CSIRO Tasmanian ICT Center
+
−
* Research Assistant (May 2005 - Dec. 2006): Large Scale Distributed Information Systems Laboratory (LSDIS)
+
−
* Student Worker (Sept. 2004 - May 2005): Complex Carbohydrate Research Center (CCRC)
+

Latest revision as of 13:21, 27 June 2016

Cory1.png

Semantic Web researcher at the Kno.e.sis Center, Ph.D. candidate at Wright State University (with advisor Amit Sheth), and research staff member at Riverside Research. My focus has been on developing semantic technologies for the representation, management, and interpretation of sensor data, both on the Web and on resource-constrained devices (such as smart phones). Among other exiting applications, this technology is currently being used within an mHealth application to monitor and manage chronic diseases, such as heart failure and asthma.

While completing a 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.

Additional information


Research Projects

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, Semantic Sensor Web is a framework for managing heterogeneity among sensor descriptions and sensor observation data through semantic modeling and annotation to enable advanced Web-based data integration, query, and inference. This project has helped to initiate a W3C Incubator Group, the Semantic Sensor Network XG, and develop a standard ontology and semantic annotation framework. These tools are achieving broad adoption and application within the sensing community for managing sensor data on the Web. SSW Project

Selected Publications


Semantic approach to Machine Perception

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. Semantic Perception is a computational framework, inspired by cognitive models of human perception, to derive actionable intelligence and situational awareness from low-level sensor data. The formalization of this ability utilizes prior knowledge encoded in domain ontologies, and hybrid abductive/deductive reasoning, to translate low-level observations into high-level abstractions. A declarative specification defined in OWL allows prior knowledge available on the Web, and annotated with Semantic Web languages, to be easily integrated into the framework.

Selected Publications


Intelligence at the Edge

Intelligence at the Edge is a framework that enables efficient and scalable execution of machine perception on resource-constrained devices, such as mobile phones and gateway nodes, by downscaling semantic processing. This is accomplished through the use of bit-vector encodings and operations to efficiently represent domain knowledge and implement the semantic perception algorithms. This approach has demonstrated dramatic order-of-magnitude improvements in both efficiency and scale, with run-time execution reduced from minutes to milliseconds, problem size (i.e., allowable size of domain ontology) increased from tens of concepts to thousands, and computational complexity reduced from polynomial to linear.

Selected Publications




kHealth - Knowledge-enabled Healthcare

kHealth – Knowledge-enabled Healthcare is a platform which integrates data from passive and active sensing (including both machine and human sensors) with background knowledge from domain ontologies, semantic reasoning, and mobile computing environments to help people make decisions to improve health, fitness, and wellbeing. kHealth utilizes technology from Semantic Sensor Web, Semantic Perception, and Intelligence at the Interface to enable advanced healthcare applications. Currently we are developing an app with OSU to reduce preventable hospital readmissions of patients with Acute Decompensated Heart Failure. kHealth Project

Publications

Google Scholar Index

  • Citation count: 1066
  • H-index: 14


Ph.D. Dissertation

A Semantics-based Approach to Machine Perception

  • Cory Henson
  • Committee: Amit Sheth (advisor), Krishnaprasad Thirunarayan, Payam Barnaghi, Satya Sahoo, and John Gallagher
  • Wright State University, 2013


World Wide Web Consortium (W3C) Reports

Semantic Sensor Network XG Final Report

  • Laurent Lefort, Cory Henson, Kerry Taylor (editors)
  • W3C Incubator Group Report, 2011


Edited Proceedings

Proceedings of the IEEE Intelligent Systems: Special Issue on the Web of Things

  • Payam Barnaghi, Cory Henson, Amit Sheth, Liuqing Yang (editors)
  • IEEE Intelligent Systems, November/December 2013 (in progress)

Proceedings of the 6th International Workshop on Semantic Sensor Networks

  • Cory Henson, Oscar Corcho, Payam Barnaghi (editors)
  • CEUR-WS.org, October 1, 2013 (in progress)

Proceedings of the 5th International Workshop on Semantic Sensor Networks

  • Cory Henson, Kerry Taylor, Oscar Corcho (editors)
  • CEUR-WS.org, vol. 904, November 1, 2012


Journal Publications

Semantics Driven Approach for Knowledge Acquisition from EMRs

  • Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Suhas Nair
  • IEEE Journal of Biomedical Health Informatics: Special Issue on Data Mining in Bioinformatics, Biomedicine and Healthcare Informatics, 2013

Comparative Trust Management with Applications: Bayesian Approaches Emphasis

  • Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, Amit Sheth
  • Journal of Future Generation Computer Systems (FGCS), May 2013

Physical-Cyber-Social Computing: An Early 21st Century Approach

  • Amit Sheth, Pramod Anantharam, and Cory Henson
  • IEEE Intelligent Systems, 2013

Semantic Perception: Converting Sensory Observations to Abstractions

  • Cory Henson, Amit Sheth, and Krishnaprasad Thirunarayan
  • IEEE Internet Computing, Special Issue on Context-Aware Computing, March/April 2012

Semantics for the Internet of Things: Early Progress and Back to the Future

  • Payam Barnaghi, Wei Wang, Cory Henson, and Kerry Taylor
  • International Journal on Semantic Web and Information Systems (IJSWIS): Special issue on Sensor Networks, Internet of Things, and Smart Devices, 2012

The SSN Ontology of the W3C Semantic Sensor Network Incubator Group

  • Michael Compton, Payam Barnaghi, Luis Bermudez, Raul Garcia-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit Sheth, Kerry Taylor
  • Journal of Web Semantics, 2012

An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web

  • Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
  • Applied Ontology, 2011

Semantic Sensor Web

  • Amit Sheth, Cory Henson, and Satya Sahoo
  • IEEE Internet Computing, July/August 2008

Semantic Provenance for eScience: Managing the Deluge of Scientific Data

  • Satya Sahoo, Amit Sheth, and Cory Henson
  • IEEE Internet Computing, July/August 2008

GLYDE: An Expressive XML Standard for the Representation of Glycan Structure

  • Satya Sahoo, Christopher Thomas, Amit Sheth, Cory Henson, and William York
  • Carbohydrate Research, 2005


Conference Publications

An Efficient Bit Vector Approach to Semantics-based Machine Perception in Resource-Constrained Devices (presentation)

  • Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
  • 11th International Semantic Web Conference (ISWC) 2012

Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment in Healthcare

  • Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Suhas Nair
  • International Conference on Bioinformatics and Biomedicine (BIBM), 2012

Computing Perception from Sensor Data

  • Payam Barnaghi, Frieder Ganz, Cory Henson, and Amit Sheth
  • IEEE Sensors Conference, 2012

Trust Model for Semantic Sensor and Social Networks: A Preliminary Report

  • Pramod Anantharam,Cory Henson,Krishnaprasad Thirunarayan and Amit Sheth
  • National Aerospace & Electronics Conference (NAECON), 2010

SPARQL Query Re-writing for Spatial Datasets Using Partonomy Based Transformation Rules

  • Prateek Jain, Peter Yeh, Kunal Verma, Cory Henson, and Amit Sheth
  • 3rd International Conference on Geospatial Semantics (GeoS), 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), 2009

SemSOS: Semantic Sensor Observation Service

  • Cory Henson, Josh Pschorr, Amit Sheth, and Krishnaprasad Thirunarayan
  • 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
  • International Symposium on Collaborative Technologies and Systems (CTS), 2009


Workshop Publications

SECURE: Semantics Empowered Rescue Environment

  • Pratikkumar Desai, Cory Henson, Pramod Anantharam, Amit Sheth
  • 4th International Workshop on Semantic Sensor Networks (SSN), 2011

Real-Time Semantic Analysis of Sensor Streams

  • Harshal Patni, Cory Henson, Michael Cooney, Amit Sheth, and Krishnaprasad Thirunarayan
  • 4th International Workshop on Semantic Sensor Networks (SSN), 2011

Representation of Parsimonious Covering Theory in OWL-DL

  • Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Pascal Hitzler
  • 8th International Workshop on OWL: Experiences and Directions (OWLED), 2011

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
  • 1st Workshop on Sensor Web Enablement (SWE), 2010

Some Trust Issues in Social Networks and Sensor Networks

  • Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, and Amit Sheth
  • 2nd International Workshop on Collaborative Trusted Sensing (TS), 2010

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

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

Video on the Semantic Sensor Web

  • Cory Henson, Amit Sheth, Prateek Jain, Josh Pschorr, and Terry Rapoch
  • W3C Video on the Web Workshop, 2007


Intellectual Property Applications

Intellego Semantic Perception Technology (in progress)

  • Inventors: Amit Sheth, Cory Henson, Krishnaprasad Thirunarayan
  • Description: Intellego Semantic Perception Technology consists of an ontology of perception and a reasoning capability to convert low-level data, such as sensor observations, into high-level abstractions supporting human-level comprehension and insight, situation awareness, and decision-making applications.


kHealth - Knowledge-enabled Healthcare (in progress)

  • Inventors: Amit Sheth, Cory Henson, Krishnaprasad Thirunarayan, Pramod Anantharam, Sujan Perera
  • Description: khealth integrates data from passive and active sensing (including both machine and human sensors) with background knowledge from domain ontologies, semantic reasoning, and mobile computing environments to help people make decisions to improve health, wellness and fitness.


Awards and Recognition


Professional Activities

Invited Talks and Tutorials


Community Engagement


Program Committee Member

  • 12th International Semantic Web Conference (ISWC 2013)
  • 10th Extended Semantic Web Conference (ESWC 2013)
  • 3rd IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2013)
  • 5th International Workshop on Semantic Sensor Networks (SSN 2012)
  • 23rd Midwest Artificial Intelligence and Cognitive Science Conference (MAICS 2012)
  • 18th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2012)
  • 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

Doctor of Philosophy (Ph.D.) in Computer Science and Engineering


Bachelor of Arts (B.A.) in Cognitive Science


Bachelor of Science (B.S.) in Computer Science


Work Experience

Graduate Research Assistant - Kno.e.sis Center, Wright State University
January 2007 - Present

  • Project lead for the Semantic Sensor Web Lab
  • Developing a standard sensor data management platform with formal ontology and semantic annotation framework that is used to integrate, query, and analyze heterogeneous sensor observation data on the Web. Resulting in a standard sensor ontology published by the World Wide Web Consortium (W3C).
  • Designing and implementing a machine perception technology, called Intellego, to translate low-level sensor observation data into high-level situation awareness, leveraging prior-knowledge on the Web. Resulting in two intellectual property disclosures; and currently used at the OSU Wexner Medical Center in order to reduce preventable hospital re-admissions of patients with Acute Decompensated Heart Failure.


Research Staff Member - Riverside Research
October 2011 - Present

  • Collaborating with the National MASINT Office (NMO) at the Defense Intelligence Agency (DIA) to develop a controlled vocabulary for Measurement and Signature Intelligence (MASINT), which will enable the annotation and query of MASINT related documents.
  • Creating a Web-based sensor catalog service to discover sensor assets and resources through federated search over data from multiple government agencies.


Fellowship - Air Force Research Lab (AFRL), Sensors Directorate
2008 - 2011

  • Designed architectures to support secure semantic sensor networks for multi-layered sensing


Internship - Defense Intelligence Agency (DIA), National MASINT Office (NMO)
June - August 2010

  • Investigated and published an official report on the suitability of various Web-based metadata standards and domain languages to represent knowledge about chemical, biological, radiological, and nuclear (CBRN) sensors and related complex events.


Internship - Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Australia
January - April 2009

  • Collaborated in the development of a semantics-enabled sensor observation Web service. Particularly focused on the representation, integration, query, and inference of time-series data.


Research Staff Member - Large Scale Distributed Information Systems Laboratory (LSDIS), University of Georgia
September 2005 - December 2006

  • Assisted in the development of an enhanced EMR system, ASEMR, which uses Semantic Web technologies to reduce medical errors, improve physician efficiency with accurate completion of patient charts, and improve billing due to more accurate coding. ASEMR has been deployed and in daily use for managing all patient records at the Athens Heart Center since January 2006.


Undergraduate Research Assistant - Large Scale Distributed Information Systems Laboratory (LSDIS), University of Georgia
2004 - 2005

  • Assisted in the development of several ontology models and knowledge-bases in the domain of bioinformatics; including a Glycomics ontology and a Proteomics ontology used for the automated semantic annotation of data and provenance metadata within a scientific experiment workflow at the Complex Carbohydrate Research Center.


Funding and Proposals

Air Force Research Lab (AFRL) Broad Agency Announcement (BAA)

  • SIDFOT - Sensors Integration for Data Fusion in Operations and Training
  • in collaboration with Ball Aerospace
  • 2011 - 2013, $200,188


Air Force Research Lab (AFRL) Broad Agency Announcement (BAA)

  • Trusted Semantic Sensor Networks to Support Decision Making over Massive Amounts of Sensor and Social Data
  • in collaboration with Riverside Research
  • 2011 - 2012, $267,156


Air Force Research Lab (AFRL) / Dayton Area Graduate Studies Institute (DAGSI) Fellowship

  • Architectures for Secure Semantic Sensor Networks for Multi-Layered Sensing
  • 2009 - 2011, $153,000


Air Force Research Lab (AFRL) Broad Agency Announcement (BAA)

  • Trusted Semantic Sensor Networks to support Architecture Analysis for Layered Sensing – Modeling, Simulations, and Analysis Technology (MSAT) Program (with SAIC)
  • in collaboration with Science Applications International Corporation (SAIC)
  • 2009 - 2011, $359,576
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