![]() | A Database for Metamorphic Petrology (MetPetDB) Research Areas: X-informatics, Knowledge Provenance, Data Frameworks, Data Science, Semantic eScience Principal Investigator: Frank Spear Co Investigator: Peter Fox Description: MetPetDB is a database for metamorphic petrology that is being designed and built by a global community of metamorphic petrologists in collaboration with computer scientists at Rensselaer Polytechnic Institute as part of the National Cyberinfrastructure Initiative and supported by the National Science Foundation. Concepts: Data Science, Geophysical Science, eScience, Semantic Web, Data Visualization, Xinformatics, Semantic eScience, Web Science, Semantic Faceted Browse/Search, Semantic Web Services, Provenance |
![]() | AeroStat Research Areas: Knowledge Provenance, Data Frameworks Principal Investigator: Greg Leptoukh Co Investigator: Peter Fox, David Lary, Rob Levy, and Christopher Lynnes Sponsor: NASA Advancing Collaborative Connections for Earth System Science Description: Objective Provide online environment for convenient access to: Satellite and ground-based aerosol data Quality information and provenance Calibration/validation data Provide multi-sensor services: Multi-sensor and model intercomparison Cross-sensor bias adjustment Data merging Create collaborative environment for aerosol researchers to share ideas, workflows and results Concepts: Provenance, eScience |
![]() | Biological and Chemical Oceanography Data Management Office (BCO-DMO) Research Areas: Data Frameworks Principal Investigator: Peter Fox Sponsor: Tetherless World Constellation Description: The Biological and Chemical Oceanography Data Management Office (BCO-DMO) was created to serve PIs funded by the NSF Biological and Chemical Oceanography Sections as a location where marine biogeochemical, ecological and oceanographic data and information developed in the course of scientific research can easily be disseminated, protected, and stored on short and intermediate time-frames. Concepts: eScience |
![]() | Data Quality Screening Service (DQSS) Research Areas: Knowledge Provenance, Data Frameworks Principal Investigator: Christopher Lynnes Co Investigator: Peter Fox, Ed Olsen, Shahin Samadi, Bruce Vollmer, and Robert Wolfe Sponsor: National Aeronautics and Space Administration Description: Objective Make data quality information easy to use for the water cycle community Expert and non-specialist users alike Human and machine users alike Connect users seamlessly to best practices in data quality handling, i.e., the science team recommendations for quality screening (filtering) Enable higher and more correct utilization of data quality indicators in data analysis Concepts: eScience, Provenance |
![]() | Deep Carbon Observatory Data Science (DCO-DS) Research Areas: Data Science, X-informatics Principal Investigator: Peter Fox, John Erickson, and Jim Hendler Description: a Concepts: Semantic eScience, Data Visualization, Data Science, Geophysical Science |
![]() | Earth System Grid - Center for Enabling Technologies (ESG-CET) Research Areas: Data Frameworks, Semantic eScience Principal Investigator: Dean Williams and Peter Fox Sponsor: Scientific Discovery through Advanced Computing Description: The Earth System Grid (ESG) integrates supercomputers with large-scale data and analysis servers located at numerous national labs and research centers to create a powerful environment for next generation climate research. Concepts: eScience, Solar Science |
![]() | Employing Cyber Infrastructure Data Technologies to Facilitate IEA for Climate Impacts in NE & CA LME's (ECO-OP) Principal Investigator: Peter Fox Co Investigator: Andrew Maffei Sponsor: National Science Foundation Description: The purpose of this INTEROP proposal is to facilitate the deployment of an Integrated Ecosystem Approach (IEA) to management in the Northeast and California Current Large Marine Ecosystems (LMEs). The direct result of the proposed activity will be application-level data and information enhanced communication for developing the consensus networks to define the specific components of interest to support the implementation of NOAA’s Driver-Pressure-State-Impact Response framework (DPSIR) decision framework and the cyberinfrastructure technologies to ensure data interoperability and reuse. |
![]() | Foresight and Understanding from Scientific Exposition (FUSE) Research Areas: Inference And Trust, Knowledge Provenance, Data Frameworks Principal Investigator: Deborah L. McGuinness Co Investigator: Jim Hendler Sponsor: Intelligence Advanced Research Projects Activity Description: Technical emergence refers to the process whereby innovative ideas, capabilities, applications, and even entirely new fields of study arise, are tested, mature, and, if conditions are favorable, demonstrate feasibility and impact. IARPA’s Foresight and Understanding from Scientific Exposition (FUSE) Program is sponsoring advanced research and development (R&D) to develop automated systems that aid in the systematic, continuous, and comprehensive assessment of technical emergence using information derived from the published scientific, technical, and patent literature. Concepts: Provenance, Semantic Web |
![]() | HAO-CI Description: Working to develop a semantically enabled cyber infrastructure for the varying science projects within the High Altitude Observatory of the University Corporation of Atmospheric Research. Concepts: Data Science, eScience |
![]() | Health on the Web Research Areas: Knowledge Provenance 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. |
![]() | Inference Web Research Areas: Knowledge Provenance Principal Investigator: Deborah L. McGuinness Description: The Inference Web is a Semantic Web based knowledge provenance infrastructure that supports interoperable explanations of sources, assumptions, learned information, and answers as an enabler for trust. Concepts: Provenance |
![]() | Linking Open Government Data (LOGD) Research Areas: Future Web Principal Investigator: Deborah L. McGuinness and Jim Hendler Sponsors: Fujitsu Laboratories of America, DARPA Transformation Convergence Technology Office, Lockheed Martin Advanced Technology Laboratory Description: The LOGD project investigates the role of Semantic Web technologies, especially Linked Data, in producing, enhancing and utilizing government data published on Data.gov and other websites. |
![]() | Multi-Sensor Data Synergy Advisor (MDSA) Research Areas: Data Frameworks, Knowledge Provenance Principal Investigator: Peter Fox Sponsor: Advanced Information Systems Technology Description: Augment Giovanni, the Goddard online tool for data access, visualization and analysis, with semantic web technologies and ontologies to support data inter-comparisons from different sensors or models. Concepts: eScience, Provenance |
![]() | Neon Educational System for Data Access and Analysis (NESDAA) Principal Investigator: Dennis Ward Sponsor: National Ecological Observatory Network, Inc. Description: To enable advanced undergraduate students and facilitator to have access to learning materials and associated artefacts like data, code, workflows [e.g. Taverna], scientific literature, and more. Concepts: eScience |
![]() | New TW Website Project Principal Investigator: Patrick West Description: A new, semantically-powered Tetherless World Website running in the Drupal CMS. Concepts: Semantic Web |
![]() | OPeNDAP Research Areas: Data Frameworks, Semantic eScience Sponsor: Tetherless World Constellation Description: Tasks for various TWC projects related to data access and the OPeNDAP software products. Concepts: eScience |
![]() | ORGPedia Corporate Intelligence (ORGPedia) Research Areas: Future Web Principal Investigator: Jim Hendler Sponsor: Microsoft Research Description: This project is for creating prototypes of linking open corporate data for the ORGPedia project. It will be a portal for integrated disparate datasets about corporations across levels of government and agencies. |
![]() | Population Science Grid (PopSciGrid) Research Areas: Knowledge Provenance Principal Investigator: Deborah L. McGuinness Sponsor: National Science Foundation Description: . |
![]() | Process and Event Ontologies (PEO) Principal Investigator: Peter Fox Sponsor: Tetherless World Constellation Description: The PEO project investigates methods for representation and interpretation of scientific and natural processes and events. |
![]() | Rensselaer Polytechnic Institute Data Services (Data.rpi.edu) Principal Investigator: Peter Fox and Jim Hendler Description: Providing data storage, data services, data access, data discovery, data search, and data lifecycle and management for RPI research projects. Concepts: eScience |
![]() | Semantic Provenance Capture in Data Ingest Systems (SPCDIS) Research Areas: Data Frameworks, Knowledge Provenance Principal Investigator: Peter Fox Co Investigator: Deborah L. McGuinness Sponsor: National Science Foundation Description: The goal of this project is to develop at the RPI Tetherless World Constellation, based within the NCAR High Altitude Observatory and in collaboration with the University of Texas at El Paso, the University of Michigan and McGuinness Associates a semantically-enabled data ingest capability. Concepts: eScience |
![]() | Semantic Sea Ice Interoperability Initiative (SSIII) Principal Investigator: Siri Jodha Singh Khalsa, Mark Parsons, and Ruth Duerr Co Investigator: Peter Fox and Deborah L. McGuinness Sponsor: National Science Foundation 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) Research Areas: Knowledge Provenance, Semantic eScience Principal Investigator: Deborah L. McGuinness and 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. Concepts: Semantic eScience, Provenance |
![]() | Semantic Workflow and Management of Provenance (SWaMP) Research Areas: Data Frameworks, Knowledge Provenance Principal Investigator: Peter Fox Sponsor: Tetherless World Constellation Description: A joint effort between the Tetherless World Constellation at Rensselaer Polytechnic Institute and the The Commonwealth Scientific and Industrial Research Organisation (CSIRO). Concepts: Provenance |
![]() | Semantic eScience Framework (SeSF) Research Areas: Data Science, Semantic eScience, Data Frameworks Principal Investigator: Peter Fox Co Investigator: Jim Hendler and Deborah L. McGuinness Sponsor: National Science Foundation Office of Cyberinfrastructure Description: The goals of this effort is to design and implement a configurable and extensible semantic eScience framework. Concepts: eScience |
![]() | Semantically Enabled Modeling of Major Depressive Disorder (SEMMDD) Research Areas: Semantic eScience, Data Science, Ontology Engineering Environments Principal Investigator: Joanne S. Luciano Description: In this project, we study the effects of how different antidepressant treatments, including non-pharmacological treatments, affect the underlying brain regions, clinical symptoms, and behaviors. We use mathematical modeling and computer simulation to combine clinical research with neuroscience research. Concepts: Semantic eScience, Data Science |
![]() | Semantically-Enabled Science Data Integration (SESDI) Research Areas: Semantic eScience Principal Investigator: Peter Fox Co Investigator: Deborah L. McGuinness Sponsor: National Aeronautics and Space Administration Description: The vast majority of explorations of the Earth system are limited in their ability to effectively explore the most important (often most difficult) problems because they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. Concepts: eScience |
![]() | Strawberry Fields Forever (SFF) Research Areas: X-informatics Principal Investigator: Peter Fox and Johannes Goebel Sponsor: National Science Foundation Description: The project addresses a key problem in Creative IT — the ubiquitous need for an integrative tool that allows rapid innovation and dissemination in new and interdisciplinary fields of research. |
![]() | TW Elixir: Web Interface for csv2rdf4lod Copnversion Automation (Elixir) Research Areas: Knowledge Provenance Principal Investigator: John Erickson Co Investigator: Tim Lebo Description: The goal of TW Elixir is to create an intuitive, interactive Web-based "front end" for the csv2rdf4lod conversion automation stack. Elixir will make it easy for users to create high-quality Linked Data. TW Elixir code will be made available to the community as open source. Concepts: Semantic Web Services, Provenance, Semantic Web |
![]() | TWC ApartNet (ApartNet) Principal Investigator: John Erickson Co Investigator: Patrick West Description: TWC ApartNet is a social network-based tool to help RPI graduate students and others find housing advice and learning about solutions that meet their needs from their peers. |
![]() | Theory and Practice of Accountable Systems (TPAS) Research Areas: Web Policy, Inference And Trust Principal Investigator: Jim Hendler Sponsor: National Science Foundation Description: The TPAS Project investigates computational and social properties of information networks necessary to provide reliable assessments of compliance with rules and policies governing the use of information. |
![]() | Virtual Solar Terrestrial Observatory (VSTO) Research Areas: Semantic eScience, Data Frameworks Principal Investigator: Peter Fox Co Investigator: Deborah L. McGuinness Sponsor: National Science Foundation Description: VSTO is a collaborative project between the High Altitude Observatory and Scientific Computing Division of the National Center for Atmospheric Research and McGuinness Associates. Concepts: Terrestrial Science, eScience, Solar Science |
![]() | Wine Agent (Wineagent) Principal Investigator: Deborah L. McGuinness Description: The Tetherless World Wine Agent is a demonstration platform for a large variety of Semantic Web techologies in a rich domain and is derived from previous work in the field of reasoning systems. |