Difference between revisions of "Cory Andrew Henson"

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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, 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].  
 
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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 +
Additional information
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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==
 
==Research Projects==
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===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. [http://knoesis.org/projects/ssw/ SSW Project]
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 +
<strong>Selected Publications</strong>
 +
* [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)
 +
* [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)
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* [http://knoesis.wright.edu/library/resource.php?id=00311 Semantic Sensor Web] (IEEE Internet Computing, 2008)
 +
<br/>
 +
 
=== Semantic approach to Machine Perception ===
 
=== 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. 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. Ideas such as this can be formally specified in an ontology of perception to better enable machines to perceive.  
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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>
 
<strong>Selected Publications</strong>
* [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://www.knoesis.org/library/resource.php?id=1682 Semantic Perception: Converting Sensory Observations to Abstractions] (IEEE Internet Computing, March/April 2012)
 
* [http://www.knoesis.org/library/resource.php?id=1682 Semantic Perception: Converting Sensory Observations to Abstractions] (IEEE Internet Computing, March/April 2012)
 
* [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)
 
* [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)
* [http://knoesis.org/library/resource.php?id=1548 Active Perception Over Machine and Citizen Sensing] (Presentation at SemTech, 2011)
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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>
 +
* [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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===Semantic Sensor Web===
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===kHealth - Knowledge-enabled Healthcare===
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. [[http://wiki.knoesis.org/index.php/SSW Semantic Sensor Web]]
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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]
 
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<br/><br/>
<strong>Selected Publications</strong>
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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)
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* [http://knoesis.wright.edu/library/resource.php?id=00596 SemSOS: Semantic Sensor Observation Service] (CTS, 2009)
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* [http://knoesis.wright.edu/library/resource.php?id=00311 Semantic Sensor Web] (IEEE Internet Computing, 2008)
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<br/>
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==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]
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* Citation count: 1066
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* H-index: 14
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<br/>
 
<br/>
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<strong>Ph.D. Dissertation</strong>
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<br/><br/>
 +
 +
[http://knoesis.wright.edu/library/resource.php?id=1948 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
  
 
<br/>
 
<br/>
<strong>2012</strong>
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<strong>World Wide Web Consortium (W3C) Reports</strong>
 
<br/><br/>
 
<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]
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[http://www.knoesis.org/library/resource.php?id=1635 Semantic Sensor Network XG Final Report]
* Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
+
* Laurent Lefort, Cory Henson, Kerry Taylor (editors)
* 11th International Semantic Web Conference (ISWC 2012)
+
* W3C Incubator Group Report, 2011
 +
 
 +
<br/>
 +
<strong>Edited Proceedings</strong>
 +
<br/><br/>
 +
 
 +
[http://www.computer.org/portal/web/computingnow/iscfp1 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)
 +
 
 +
[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
 +
 
 +
<br/>
 +
<strong>Journal Publications</strong>
 +
<br/><br/>
  
[http://knoesis.wright.edu/library/resource.php?id=1771 Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment in the Healthcare]
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[http://knoesis.org/library/resource.php?id=1904 Semantics Driven Approach for Knowledge Acquisition from EMRs]
 
* Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Suhas Nair
 
* Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Suhas Nair
* International Conference on Bioinformatics and Biomedicine (BIBM 2012)
+
* IEEE Journal of Biomedical Health Informatics: Special Issue on Data Mining in Bioinformatics, Biomedicine and Healthcare Informatics, 2013
  
[http://www.knoesis.org/library/resource.php?id=1773 Semantics for the Internet of Things: Early Progress and Back to the Future]
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[http://knoesis.wright.edu/library/resource.php?id=1875 Comparative Trust Management with Applications: Bayesian Approaches Emphasis]
* Payam Barnaghi, Wei Wang, Cory Henson, and Kerry Taylor
+
* Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, Amit Sheth
* International Journal on Semantic Web and Information Systems (IJSWIS): special issue on Sensor Networks, Internet of Things, and Smart Devices, 2012
+
* Journal of Future Generation Computer Systems (FGCS), May 2013
  
[http://www.knoesis.org/library/resource.php?id=1761 Computing Perception from Sensor Data]
+
[http://knoesis.wright.edu/library/resource.php?id=1816 Physical-Cyber-Social Computing: An Early 21st Century Approach]  
* Payam Barnaghi, Frieder Ganz, Cory Henson, and Amit Sheth
+
* Amit Sheth, Pramod Anantharam, and Cory Henson
* IEEE Sensors Conference, 2012
+
* IEEE Intelligent Systems, 2013
  
 
[http://www.knoesis.org/library/resource.php?id=1682 Semantic Perception: Converting Sensory Observations to Abstractions]
 
[http://www.knoesis.org/library/resource.php?id=1682 Semantic Perception: Converting Sensory Observations to Abstractions]
 
* Cory Henson, Amit Sheth, and Krishnaprasad Thirunarayan
 
* Cory Henson, Amit Sheth, and Krishnaprasad Thirunarayan
 
* IEEE Internet Computing, Special Issue on Context-Aware Computing, March/April 2012
 
* 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]
 
[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
 
* 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
 
* Journal of Web Semantics, 2012
 
<br/>
 
<strong>2011</strong>
 
<br/><br/>
 
  
 
[http://www.knoesis.org/library/resource.php?id=1633 An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web]
 
[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
 
* Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
* Applied Ontology, 2011.
+
* Applied Ontology, 2011
  
[http://www.knoesis.org/library/resource.php?id=1631 Demonstration: SECURE: Semantics Empowered resCUe Environment]
+
[http://knoesis.wright.edu/library/resource.php?id=00311 Semantic Sensor Web]
* Pratikkumar Desai, Cory Henson, Pramod Anantharam, Amit Sheth
+
* Amit Sheth, Cory Henson, and Satya Sahoo
* 4th International Workshop on Semantic Sensor Networks (SSN 2011)
+
* IEEE Internet Computing, July/August 2008
  
[http://www.knoesis.org/library/resource.php?id=1697 Demonstration: Real-Time Semantic Analysis of Sensor Streams]
+
[http://knoesis.wright.edu/library/resource.php?id=00310 Semantic Provenance for eScience: Managing the Deluge of Scientific Data]
* Harshal Patni, Cory Henson, Michael Cooney, Amit Sheth, and Krishnaprasad Thirunarayan
+
* Satya Sahoo, Amit Sheth, and Cory Henson
* 4th International Workshop on Semantic Sensor Networks (SSN 2011)
+
* IEEE Internet Computing, July/August 2008
  
[http://www.knoesis.org/library/resource.php?id=1635 Semantic Sensor Network XG Final Report]
+
[http://knoesis.wright.edu/library/resource.php?id=00018 GLYDE: An Expressive XML Standard for the Representation of Glycan Structure]
* Laurent Lefort, Cory Henson, Kerry Taylor (editors)
+
* Satya Sahoo, Christopher Thomas, Amit Sheth, Cory Henson, and William York
* W3C Incubator Group Report
+
* Carbohydrate Research, 2005
 
+
[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.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.
+
  
 
<br/>
 
<br/>
<strong>2010</strong>
+
<strong>Conference Publications</strong>
 
<br/><br/>
 
<br/><br/>
  
[http://knoesis.wright.edu/library/resource.php?id=836 Trust Model for Semantic Sensor and Social Networks: A Preliminary Report]
+
[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])
* Pramod Anantharam,Cory Henson,Krishnaprasad Thirunarayan and Amit Sheth
+
* Cory Henson, Krishnaprasad Thirunarayan, and Amit Sheth
* National Aerospace & Electronics Conference (NAECON 2010)
+
* 11th International Semantic Web Conference (ISWC) 2012
  
[http://knoesis.wright.edu/library/resource.php?id=800 Provenance Aware Linked Sensor Data]
+
[http://knoesis.wright.edu/library/resource.php?id=1782 Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment in Healthcare]
* Harshal Patni, Satya S. Sahoo, Cory Henson, and Amit Sheth
+
* Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, and Suhas Nair
* 2nd Workshop on Trust and Privacy on the Social and Semantic Web, 2010
+
* International Conference on Bioinformatics and Biomedicine (BIBM), 2012
  
[http://knoesis.wright.edu/library/resource.php?id=780 Linked Sensor Data]
+
[http://www.knoesis.org/library/resource.php?id=1761 Computing Perception from Sensor Data]
* Harshal Patni, Cory Henson, and Amit Sheth
+
* Payam Barnaghi, Frieder Ganz, Cory Henson, and Amit Sheth
* International Symposium on Collaborative Technologies and Systems (CTS 2010)
+
* IEEE Sensors Conference, 2012
  
[http://knoesis.wright.edu/library/resource.php?id=798 Some Trust Issues in Social Networks and Sensor Networks]
+
[http://knoesis.wright.edu/library/resource.php?id=836 Trust Model for Semantic Sensor and Social Networks: A Preliminary Report]
* Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Henson, and Amit Sheth
+
* Pramod Anantharam,Cory Henson,Krishnaprasad Thirunarayan and Amit Sheth
* International Symposium on Collaborative Technologies and Systems (CTS 2010)
+
* National Aerospace & Electronics Conference (NAECON), 2010
 
+
[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.
+
 
+
<br/>
+
<strong>2009</strong>
+
<br/><br/>
+
  
 
[http://knoesis.wright.edu/library/resource.php?id=00713 SPARQL Query Re-writing for Spatial Datasets Using Partonomy Based Transformation Rules]
 
[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
 
* Prateek Jain, Peter Yeh, Kunal Verma, Cory Henson, and Amit Sheth
* 3rd International Conference on Geospatial Semantics (GeoS 2009)
+
* 3rd International Conference on Geospatial Semantics (GeoS), 2009
 
+
[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=00474 A Local Qualitative Approach to Referral and Functional Trust]
 
[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
 
* Krishnaprasad Thirunarayan, Dharan Althuru, Cory Henson, and Amit Sheth
* 4th Indian International Conference on Artificial Intelligence (IICAI-09)
+
* 4th Indian International Conference on Artificial Intelligence (IICAI), 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=00596 SemSOS: Semantic Sensor Observation Service]
 
[http://knoesis.wright.edu/library/resource.php?id=00596 SemSOS: Semantic Sensor Observation Service]
 
* Cory Henson, Josh Pschorr, Amit Sheth, and Krishnaprasad Thirunarayan
 
* Cory Henson, Josh Pschorr, Amit Sheth, and Krishnaprasad Thirunarayan
* International Symposium on Collaborative Technologies and Systems (CTS 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]
 
[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
 
* Krishnaprasad Thirunarayan, Cory Henson, and Amit Sheth
* International Symposium on Collaborative Technologies and Systems (CTS 2009)
+
* International Symposium on Collaborative Technologies and Systems (CTS), 2009
  
 
<br/>
 
<br/>
<strong>2008 (and earlier)</strong>
+
<strong>Workshop Publications</strong>
 
<br/><br/>
 
<br/><br/>
  
[http://knoesis.wright.edu/library/resource.php?id=00311 Semantic Sensor Web]
+
[http://www.knoesis.org/library/resource.php?id=1631 SECURE: Semantics Empowered Rescue Environment]
* Amit Sheth, Cory Henson, and Satya Sahoo
+
* Pratikkumar Desai, Cory Henson, Pramod Anantharam, Amit Sheth
* IEEE Internet Computing, July/August 2008
+
* 4th International Workshop on Semantic Sensor Networks (SSN), 2011
  
[http://knoesis.wright.edu/library/resource.php?id=00310 Semantic Provenance for eScience: Managing the Deluge of Scientific Data]
+
[http://www.knoesis.org/library/resource.php?id=1697 Real-Time Semantic Analysis of Sensor Streams]
* Satya Sahoo, Amit Sheth, and Cory Henson
+
* Harshal Patni, Cory Henson, Michael Cooney, Amit Sheth, and Krishnaprasad Thirunarayan
* IEEE Internet Computing, July/August 2008
+
* 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]
 
[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
 
* Cory Henson, Amit Sheth, Prateek Jain, Josh Pschorr, and Terry Rapoch
 
* W3C Video on the Web Workshop, 2007
 
* W3C Video on the Web Workshop, 2007
 
[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/>
 
<br/>
  
== Professional Activities ==
+
==Intellectual Property Applications==
<strong>Workshop Chair</strong>
+
<strong>Intellego Semantic Perception Technology</strong> (in progress)
* Co-chair for the 5th International Workshop on Semantic Sensor Networks (2012): [http://knoesis.org/ssn2012/ SSN 2012]
+
* 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/>
 
<br/>
 
+
<strong>kHealth - Knowledge-enabled Healthcare</strong> (in progress)
<strong>Standards Committee Member</strong>
+
* Inventors: Amit Sheth, Cory Henson, Krishnaprasad Thirunarayan, Pramod Anantharam, Sujan Perera
* Editor for the W3C Semantic Sensor Network Incubator Group (SSN XG): [http://www.w3.org/2005/Incubator/ssn/XGR-ssn/ Final Report, 2011]
+
* 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/>
 
<br/>
  
<strong>Invited Talks</strong>
+
==Awards and Recognition==
* Keynote Plenary Talk at the IERC AC4 Semantic Interoperability Workshop (2012): [http://www.knoesis.org/library/resource.php?id=1721 W3C Semantic Sensor Networks: Ontologies, Applications, and Future Directions]
+
* Winner of the <strong>2013 WSU Graduate Student Excellence Award</strong> for Ph.D. in Computer Science and Engineering
* Dagstuhl Seminar (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])
+
* <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]  
* Dagstuhl Seminar (2010), [http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=10042 Semantic Challenges in Sensor Networks (2010)]: Can Sensors Play 20 Questions?
+
* <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]
* Semantic Technology Conference (2011): [http://knoesis.org/library/resource.php?id=1548 Active Perception Over Machine and Citizen Sensing]
+
* Member of the [http://www.wright.edu/honors/the-program/phi-kappa-phi Honor Society of Phi Kappa Phi]
* Semantic Technology Conference (2008): [http://knoesis.org/library/resource.php?id=00302 Semantic Sensor Web]
+
* 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/>
 
<br/>
  
<strong>Editorial Board Member</strong>
+
==Professional Activities==
* [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>Invited Talks and Tutorials</strong>
* [http://www.iariajournals.org/intelligent_systems/index.html International Journal on Advances in Intelligent Systems]
+
* <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/>
 
<br/>
  
<strong>Tutorials</strong>
+
<strong>Community Engagement</strong>
* Tutorial at EKAW 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])
+
* <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/>
 
<br/>
  
 
<strong>Program Committee Member</strong>
 
<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])
 
* 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])
 
* 3rd IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support ([http://www.cogsima2013.org/ CogSIMA 2013])
Line 220: Line 267:
 
<br/>
 
<br/>
  
== Education and Work Experience ==
+
== Education ==
<strong>Education</strong>
+
<strong>Doctor of Philosophy (Ph.D.) in Computer Science and Engineering</strong>
* Ph.D. Candidate, Computer Science and Engineering, [http://www.wright.edu/ Wright State University], January 2007 - Present
+
* September 2013 - [http://www.wright.edu/ Wright State University] - Dayton, OH
* B.A., Cognitive Science, [http://www.uga.edu/ University of Georgia], August 2005
+
* Advisor: [http://knoesis.wright.edu/amit/ Dr. Amit Sheth]
* B.S., Computer Science, [http://www.uga.edu/ University of Georgia], December 2002
+
* 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/>
 
<br/>
  
<strong>Work Experience</strong>
+
== Work Experience ==
* [http://knoesis.wright.edu/ Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing] -- <strong>Research Assistant</strong> (Jan. 2007 - Present)
+
<strong>Graduate Research Assistant - [http://knoesis.wright.edu/ Kno.e.sis Center], Wright State University</strong>
* [http://www.wpafb.af.mil/AFRL/ Air Force Research Lab (AFRL)], Sensors Directorate -- <strong>Fellowship</strong> (2008 - 2011)
+
* [http://www.dia.mil/ Defense Intelligence Agency (DIA)], National MASINT Office (NMO) -- <strong>Internship</strong> (June - Aug. 2010)
+
* [http://www.cloudbus.org/ Cloud Computing and Distributed Systems (CLOUDS) Laboratory], University of Melbourne, and [http://www.csiro.au/ CSIRO] Tasmanian ICT Center -- <strong>Internship</strong> (Jan. - March 2009)
+
* [http://lsdis.cs.uga.edu/ Large Scale Distributed Information Systems Laboratory (LSDIS)], University of Georgia -- <strong>Research Assistant</strong> (May 2005 - Dec. 2006)
+
* [http://www.ccrc.uga.edu/ Complex Carbohydrate Research Center (CCRC)], University of Georgia -- <strong>Student Worker</strong> (Sept. 2004 - May 2005)
+
 
<br/>
 
<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/>
 +
 +
<strong>Air Force Research Lab (AFRL) Broad Agency Announcement (BAA)</strong>
 +
* 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, <strong>$359,576</strong>

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