Cory Andrew Henson

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Semantic Web researcher at the Kno.e.sis Center, Ph.D. candidate at Wright State University, 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: 880
  • H-index: 12


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

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