Evan W. Patton | |
![]() | |
Contact Info | |
pattoe@rpi.edu | |
pattoe@cs.rpi.edu | |
On the Web | |
Homepage | |
Workplace Homepage | |
School Homepage | http://www.rpi.edu/ |
Interests: Wine, Semantic Web, Health informatics
Evan Patton has worked with technology for most of his life in one form or another, and began more rigorous explorations during elementary school on an old Apple IIe computer. Since then, he has explored a variety of topics in computer science, including database systems, networking protocols, systems-level programming, robotics, and web ecosystems. During his undergraduate career, Evan developed a system called VIA that was designed to record web browsing behavior using the Mozilla Firefox browser. He also developed a modeling tool called SANLab-CM designed to build descriptive human performance models of task environments. Evan completed his undergraduate degree in 2009, a dual Bachelors of Science in Computer Science and Psychology and officially joined the Tetherless World as a Ph.D. student. His current research focuses on the Tetherless World Mobile Wine Agent as a platform for investigating parallelized reasoners in dynamic local networks.
![]() | Tetherless World Constellation (TWC) | Website: http://tw.rpi.edu |
![]() | Rensselaer Polytechnic Institute (RPI) | Website: http://www.rpi.edu |
![]() | Health on the Web Principal Investigator: Deborah L. McGuinness and Joanne S. Luciano Description: The Tetherless World Constellation's Health on the Web's primary goal is to explore the next generation web technology needed to improve health. |
![]() | Mobile Health Principal Investigator: Deborah L. McGuinness Description: The Mobile Health project aims to bring semantic representations of medical data collected from a variety of consumer and medical grade devices and integrate those data on an individual's mobile smartphone. Combined with the reasoning capabilities of semantic web and technologies such as IBM Watson, this project plans to enable personalized health care through the instrumented self. |
![]() | SemantEco Annotator Principal Investigator: Deborah L. McGuinness Co Investigator: Patrice Seyed Description: Generating useful RDF linked data is not a straightforward process for scientists using today's tools. In this project we introduce the SemantEco Annotator, a semantic web application that leverages community-based vocabularies and ontologies during the translation process itself to ease the process of drawing out implicit relationships in tabular data so that they may be immediately available for use within the LOD cloud. Our goal for the SemantEco Annotator is to make advanced RDF translation techniques available to the layperson. |
![]() | Semantic Numeric Exploration Technology (SemNExT) Principal Investigator: Kristin Bennett and Deborah L. McGuinness Description: SemNExT combines numeric analysis of data with semantic understanding and explanation technologies to provide a holistic means of exploring robust datasets. |
![]() | Semantic Sea Ice Interoperability Initiative (SSIII) Principal Investigator: Mark Parsons, Ruth Duerr, and Siri Jodha Singh Khalsa Co Investigator: Deborah L. McGuinness Description: SSIII is a National Science Foundation (NSF) funded effort to enhance the interoperability of sea ice data to establish a network of practitioners working to enhance semantic interoperability of all Arctic data. SSIII is a collaborative project between NSIDC and the Rensselaer Polytechnic Institute (RPI) Tetherless World Constellation project. We seek to build on the work initiated under the International Polar Year (IPY) and create a community of practice working to improve interoperability within the Polar Information Commons (PIC), the Sustained Arctic Observing Network (SAON), and broader global systems. |
![]() | Semantic Water Quality Portal (SemantAQUA) Principal Investigator: Deborah L. McGuinness Co Investigator: Joanne S. Luciano Description: We present a semantic technology-based approach to emerging environmental information systems. We used our linked data approach in the Tetherless World Constellation Semantic Water Quality Portal (TWC-SWQP). Our integration scheme uses a core domain ontology and integrates water data from different authoritative sources along with multiple regulation ontologies to enable pollution detection and monitoring. An OWL-based reasoning scheme identifies pollution events relative to user chosen regulations. Our approach also captures and leverages provenance to improve transparency. In addition, semantic water quality portal features provenance-based facet generation, query answering and data validation over the integrated data via SPARQL. We introduce the approach and the water portal, and highlight some of its potential impacts for the future of environmental monitoring systems. |
![]() | TW Website Project Description: A semantically-powered Tetherless World Website running in the Drupal CMS. This combines many web standard technologies, including RDF, SPARQL, XSLT, and XHTML. |
![]() | Wine Agent Principal Investigator: Deborah L. McGuinness Description: The Wine Agent represents knowledge of wines and foods and is a demonstration platform for a large variety of Semantic Web technologies in a rich domain and is derived from previous work in the field of reasoning systems. |