Now showing items 1-20 of 237

    • A Comparison of the OPM and PML Provenance Models 

      Michaelis, James; Zednik, Stephan; Ding, Li; McGuinness, Deborah (2009-10-25)
    • A Deployed Semantically-Enabled Interdisciplinary Virtual Observatory 

      McGuinness, Deborah; Fox, Peter; Cinquini, Luca; West, Patrick; Garcia, Jose; Benedict, James; Middleton, Don (2007-07-27)
      We have used semantic technologies to design, implement, and deploy an interdisciplinary virtual observatory. The Virtual Solar-Terrestrial Observatory is a production data framework providing access to observational ...
    • A Framework for Evaluating and Utilizing Medical Terminology Mappings 

      Hussain, Sajjad; Sun, Hong; Sinaci, Ali Anil; Laleci, Gokce Banu; Mead, Charles; Gray, Alasdair; McGuinness, Deborah; Prud'hommeaux, Eric; Daniel, Christel; Forsberg, Kerstin (2014-08-31)
      Use of medical terminologies and mappings across them are considered to be crucial pre-requisites for achieving interoperable eHealth applications. Built upon the outcomes of several research projects, we introduce a ...
    • A Power Consumption Benchmark for Reasoners on Mobile Devices 

      Patton, Evan; McGuinness, Deborah (2014-10-19)
      We introduce a new methodology for benchmarking the performance per watt of semantic web reasoners and rule engines on smartphones to provide developers with information critical for deploying semantic web tools on ...
    • A Proof Markup Language for Semantic Web Services 

      Pinheiro, Paulo; McGuinness, Deborah; Fikes, Richard (Information Systems, 2006-07-01)
      The Semantic Web is being designed to enable automated reasoners to be used as core components in a wide variety of Web applications and services. In order for a client to accept and trust a result produced by perhaps an ...
    • A Prototype Web Service for Benchmarking Power Consumption of Mobile Semantic Applications 

      Patton, Evan; McGuinness, Deborah (2014-10-19)
      We present a prototype web service that enables researchers to evaluate the performance per watt of semantic web tools. The web service provides access to a hardware platform for collecting power consumption data for a ...
    • A Reusable Semantic Virtual Observatory Platform 

      Benedict, James; McGuinness, Deborah; Fox, Peter (2010-12-31)
      Multi-discipline Virtual Observatories are becoming more prevalent as more scientists need to access data from a broad range of disciplines that may be available from varied repositories. It is becoming increasingly important ...
    • A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation 

      Santos, Henrique; Mulvehill, Alice; Erickson, John; McCusker, Jamie; Gordon, Minor; Xie, Owen; Stouffer, Samuel; Capraro, Gerard; Pidwerbetsky, Alex; Burgess, John; Berlinsky, Allan; Turck, Kurt; Ashdown, Jonathan; McGuinness, Deborah (2020)
      Because radio spectrum is a finite resource, its usage and sharing is regulated by government agencies. These agencies define policies to manage spectrum allocation and assignment across multiple organizations, systems, ...
    • A Semantic Portal for Next Generation Monitoring Systems 

      Wang, Ping; Zheng, Jin; Fu, Linyun; Patton, Evan; Lebo, Tim; Ding, Li; Liu, Qing; Luciano, Joanne; McGuinness, Deborah (2011-10-23)
      We present a semantic technology-based approach to emerging monitoring systems based on our linked data approach in the Tetherless World Constellation Semantic Ecology and Environment Portal (SemantEco). Our integration ...
    • A Semantic Workflow Approach to Web Science Analytics 

      Norris, Spencer; Erickson, John; McGuinness, Deborah (2017-06-25)
      Reproducibility and reuse are rapidly becoming guiding principles in publishing and sharing scientific results. In order to enhance researchers' ability to leverage existing results, many are moving in the direction of ...
    • A Semantically-enabled Community Health Portal for Cancer Prevention and Control 

      McGuinness, Deborah; Shaikh, Abdul; Moser, Richard; Hesse, Bradford; Morgan, Glen; Hunt, Yvonne; Tatalovich, Zaria; Willis, Gordon; Blake, Kelly; Courtney, Paul; Finney, Lila; Sanders, Amy; Ding, Li; Lebo, Tim; McCusker, Jamie; Contractor, Noshir; Huang, Yun; Devlin, Hugh (2011-06-14)
      We describe our semantically-enabled approach to integrate, visualize, and explore health data. The project was conducted in a trans-disciplinary setting with population and behavioral scientists, social network scientists, ...
    • A Semi-Automated Approach to Data Harmonization Across Environmental Health Studies 

      Johnson, Matt; Ravi, Meenu; Pinheiro, Paulo; Stingone, Jeanette; McGuinness, Deborah (2020-08-01)
      The NIEHS-supported Human Health and Exposure Analysis Resource (HHEAR) Data Center maintains a public-use data repository to promote reuse of environmental health data generated by the HHEAR program. The creation and ...
    • A volcano erupts: semantically mediated integration of heterogeneous volcanic and atmospheric data 

      Fox, Peter; McGuinness, Deborah; Raskin, Robert; Sinha, Krishna (2007-11-09)
      We present a research effort into the application of semantic web methods and technologies to address the challenging problem of integrating heterogeneous volcanic and atmospheric data in support of assessing the atmospheric ...
    • AAAI 2008 Spring Symposia Reports 

      Balduccini, Marcello; Baral, Chitta; Brodaric, Boyan; Colton, Simon; Fox, Peter; Gutelius, David; Hinkelmann, Knut; Horswill, Ian; Huberman, Bernardo; Hudlicka, Eva; Lerman, Kristina; Lisetti, Christine; McGuinness, Deborah; Maher, Mary Lou; Musen, Mark; Sahami, Mehran; Sleeman, Derek; Thönssen, Barbara; Velasquez, Juan; Ventura, Dan (AI Magazine, 2008-09-06)
      The Association for the Advancement of Artificial Intelligence (AAAI) was pleased to present the AAAI 2008 Spring Symposium Series, held Wednesday through Friday, March 26–28, 2008 at Stanford University, California. The ...
    • Abstracting Granular Provenance 

      Lebo, Tim; Wang, Ping; Graves, Alvaro; McGuinness, Deborah (2012-04-18)
      As Open Data becomes commonplace, methods are needed to integrate dis- parate data from a variety of sources. Although Linked Data design has promise for integrating world wide data, integrators often struggle to provide ...
    • Abstracting Web Agent Proofs into Human-Level Justifications 

      Furtado, Vasco; Pinheiro, Paulo; McGuinness, Deborah; Deshwal, Priyendra; Narayanan, Dhyanesh; Carvalho, Juliana; Pinheiro, Vladia; Chang, Cynthia (2007-05-07)
      Information supporting answer explanations are derived from proofs. One of the difficulties for humans to understand web agent proofs is that the proofs are typically described at the machine-level. In this paper, we ...
    • Accelerating Child Health Exposure Research with the CHEAR Data Center 

      Kovatch, Patricia; McGuinness, Deborah; Gennings, Chris; Teitelbaum, Susan (2016-10-09)
      The United States National Institute of Environmental Health Sciences has established an infrastructure, the Childrens Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to ...
    • An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration 

      Zhang, Xiaoqin; Shrestha, Bhavesh; Yoon, Sungwook; Kambhampati, Subbarao; DiBona, Phillip; Guo, Jinhong; McFarlane, Daniel; Hofmann, Martin; Whitebread, Kenneth; Appling, Darren; Whitaker, Elizabeth; Trewhitt, Ethan; Ding, Li; Michaelis, James; McGuinness, Deborah; Hendler, Jim; Doppa, Janardhan; Parker, Charles; Dietterich, Thomas; Tadepalli, Prasad; Wong, Weng-Keen; Green, Derek; Rebguns, Anton; Spears, Diana; Kuter, Ugur; Levine, Geoff; DeJong, Gerald; MacTavish, Reid; Ontanon, Santiago; Radhakrishnan, Jainarayan; Ram, Ashwin; Mostafa, Hala; Zafar, Huzaifa; Zhang, Chongjie; Corkill, Daniel; Lesser, Victor; Song, Zhexuan (ACM Transactions on Intelligent Systems and Technology, 2012-09-01)
      We present a novel ensemble architecture for learning problem-solving techniques from a very small number of expert solutions and demonstrate its effectiveness in a complex real-world domain. The key feature of our ...
    • An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration 

      Zhang, Xiaoqin; Shrestha, Bhavesh; Yoon, Sungwook; Kambhampati, Subbarao; DiBona, Phillip; Guo, Jinhong; McFarlane, Daniel; Hofmann, Martin; Whitebread, Kenneth; Appling, Darren; Whitaker, Elizabeth; Trewhitt, Ethan; Ding, Li; Michaelis, James; McGuinness, Deborah; Hendler, Jim; Doppa, Janardhan; Parker, Charles; Dietterich, Thomas; Tadepalli, Prasad; Wong, Weng-Keen; Green, Derek; Rebguns, Anton; Spears, Diana; Kuter, Ugur; Levine, Geoff; DeJong, Gerald; MacTavish, Reid; Ontanon, Santiago; Radhakrishnan, Jainarayan; Ram, Ashwin; Mostafa, Hala; Zafar, Huzaifa; Zhang, Chongjie; Corkill, Daniel; Lesser, Victor; Song, Zhexuan (Transactions on Intelligent Systems and Technology, 2012-09-01)
      We present a novel ensemble architecture for learning problem-solving techniques from a very small number of expert solutions and demonstrate its effectiveness in a complex real-world domain. The key feature of our ...
    • An Ensemble Learning and Problem Solving Architecture for Airspace Management 

      Zhang, Xiaoqin; Yoon, Sungwook; DiBona, Phillip; Appling, Darren; Ding, Li; Doppa, Janardhan; Green, Derek; Guo, Jinhong; Kuter, Ugur; Levine, Geoff; MacTavish, Reid; McFarlane, Daniel; Michaelis, James; Mostafa, Hala; Ontanon, Santiago; Parker, Charles; Radhakrishnan, Jainarayan; Rebguns, Anton; Shrestha, Bhavesh; Song, Zhexuan; Trewhitt, Ethan; Zafar, Huzaifa; Zhang, Chongjie; Corkill, Daniel; DeJong, Gerald; Dietterich, Thomas; Kambhampati, Subbarao; Lesser, Victor; McGuinness, Deborah; Ram, Ashwin; Spears, Diana; Tadepalli, Prasad; Whitaker, Elizabeth; Wong, Weng-Keen; Hendler, Jim; Hofmann, Martin; Whitebread, Kenneth (Transactions on Intelligent Systems and Technology, 2011-11-15)
      We present a novel ensemble architecture for learning problem-solving techniques from a very small number of expert solutions and demonstrate its effectiveness in a complex real-world domain. The key feature of our ...