TWC Completed/Past Projects

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MetPetDB LogoA Database for Metamorphic Petrology (MetPetDB)
Principal Investigator: Frank Spear
Co Investigator: Peter Fox and Boleslaw K. Szymanski
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.
AeroStat (AeroStat)
Principal Investigator: Greg Leptoukh
Co Investigator: Peter Fox, David Lary, Rob Levy, and Christopher Lynnes
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
Biological and Chemical Oceanography Data Management OfficeBiological and Chemical Oceanography Data Management Office (BCO-DMO)
Principal Investigator: Peter Fox
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.
COSMIC LogoCloud-Oriented Social Media Inference And Counteraction (COSMIC)
Principal Investigator: V. Subrahmanian and Jim Hendler
Co Investigator: Deborah L. McGuinness
Description: COSMIC will combine novel algorithms from sentiment analysis, probabilistic temporal learning of diffusion of messages/opinion in social networks, forecasting and prediction of the reach of messages in social media, and game-theoretic methods to counteract diffusion of messages, into a highly modular, loosely-coupled framework and software platform to address the objectives of DARPA’s Social Media in Strategic Communication (SMISC) Program.
Coastal and Marine Spatial Planning Vocabularies (CMSPV)
Principal Investigator: Peter Fox
Description: Vocabulary and Ontology development within the context of the overall development of Coastal and Marine Spatial Planning (CMSP) and Ocean and Coastal Modeling (OCM) portals by environmental inter-agency collaboration to provide search and browse options that inspire user confidence that all relevant information has been found; data providers will know how to create metadata to increase the likelihood that their information will be found.
DQSS Project LogoCognitive Assistant that Learns and Organizes (CALO)
Principal Investigator: Deborah L. McGuinness
Description: The goal of the project CALO, for Cognitive Assistant that Learns and Organizes, is to create cognitive software systems, that is, systems that can reason, learn from experience, be told what to do, explain what they are doing, reflect on their experience, and respond robustly to surprise. Rensselaer is leading the explanation efforts.
DQSSData Quality Screening Service (DQSS)
Principal Investigator: Christopher Lynnes
Co Investigator: Peter Fox, Ed Olsen, Shahin Samadi, Bruce Vollmer, and Robert Wolfe
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
DataONE Semantics LogoDataONE Semantics (D1-Semantics)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Matt Jones, Ben Leinfelder, Xixi Luo, and Mark Schildhauer
Description: Semantic search on measurements will enable precise data discovery by helping users identify relevant content from the massive and heterogeneous catalog in DataONE, thereby improving efficiency and opportunities for researchers and other data consumers.
Earth System Grid - Center for Enabling Technologies (ESG-CET)
Principal Investigator: Peter Fox and Dean Williams
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. Access to ESG is provided through a system of federated Data Gateways, that collectively allow access to massive data and services for Climate Global and Regional Models, IPCC research, and analysis and visualization software. The Earth System Grid - Center for Enabling Technologies (ESG-CET) is funded by the U.S. Department of Energy as part of the SciDAC (Scientific Discovery through Advanced Computing) program. At the heart of the Earth System Grid is the need for access and transport of various data products. These products are produced and consumed in many and varied parts of the ESG architecture, including on data nodes, gateway nodes, clients and federated sites. The RPI effort involves secure, high-performance access and transport of data within the ESG-CET framework.
ECOOP LogoEmploying 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
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.
FUSE LogoForesight and Understanding from Scientific Exposition (FUSE)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Jim Hendler
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.
Generalized Integrated Learning Architecture (GILA)
Principal Investigator: Deborah L. McGuinness and Jim Hendler
Description: The Generalized Integrated Learning Architecture [GILA] is a general-purpose integrated multi-agent platform that solves domain problems by learning from a problem-solution pair submitted by a human expert. One of the key purposes of GILA is to learn how humans solve complex problems and apply this knowledge to future problems. A complex problem domain known as the Airspace Control Scenario has been chosen to drive the development of GILA and evaluate its performance. The objective of this problem domain is to resolve conflicts in a collection of airspace allocations for aircrafts.
Global Change Information System: Information Model and Semantic Application Prototypes (GCIS-IMSAP)
Principal Investigator: Peter Fox
Description: The Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI) proposes to facilitate the vocabulary and ontology development within the context of the overall development of semantic prototypes for the National Climate Assessment (NCA) portals using a combination of environmental inter-agency collaborations in a use-case focused workshop setting, information modeling, and software developments and deployments. The prototypes are intended to provide search and browse options that inspire confidence that all relevant information has been found; data providers will be citable with detailed provenance generation. Expected deliverables are: information models, vocabulary and ontology services for vetted climate assessment settings, and search/ browse prototypes.
HAO-CI LogoHigh Altitude Observatory - CyberInferstructure (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.
I-Choose LogoI-Choose: Building Information Sharing Networks to Support Consumer Choice Project (I-Choose)
Principal Investigator: Theresa Pardo
Co Investigator: Deborah Andersen, David Andersen, Holly Jarman, Joanne S. Luciano, Luis Felipe Luna-Reyes, Rejean Roy, Giri Tayi, and Jing Zhang
Description: The Building Information Sharing Networks to Support Consumer Choice Project (I-Choose Project) is a four-year research activity funded by the National Science Foundation. The research team consists of a network of researchers and practitioners from Canada, Mexico, and the United States. The project aims to develop a data interoperability framework to provide consumers with a wide range of certification information about how, where, and by whom products are manufactured and brought to market. The project focuses on development of interoperability among stakeholder communities for the single case of coffee grown in Mexico, and distributed and consumed in Canada and the United States. The lessons learned from this specific case will then be generalized across other product domains.
MDSA LogoMulti-Sensor Data Synergy Advisor (MDSA)
Principal Investigator: Peter Fox
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. Data provenance (i.e. the essential data parameter details, quality and production caveats) will be added to enable researchers to make valid data comparisons and draw quantitative conclusions on specific analysis (e.g. ocean fertilization due to acid rain). In the resulting Giovanni framework, the dataset variable characteristics and related quality can be encoded so that inter-comparison rules can be derived.
TW LogoNeon Educational System for Data Access and Analysis (NESDAA)
Principal Investigator: Dennis Ward and Peter Fox
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.
OOI-CI-SP LogoOcean Observing Initiative: Cyber-Infrastructure - Semantic Prototype (OOI-CI-SP)
Principal Investigator: Peter Fox
Description: Design and Develop a Faceted Browse application to allow scientists to semantically search data related to Ocean Sciences
PEO Project LogoProcess and Event Ontologies (PEO)
Principal Investigator: Peter Fox
Description: The PEO project investigates methods for representation and interpretation of scientific and natural processes and events.
TW LogoResearch Data Alliance Adoption Initiatives (RDA Adoption)
Principal Investigator: Peter Fox
Co Investigator: Xiaogang Ma
Description: The Research Data Alliance (RDA) - Data Type Registry (DTR) Working Group addresses a part of a core problem relevant to interoperability among data management systems: the ability to parse, understand, and potentially reuse data retrieved from others. The RDA - Persistent Identifier Information Types (PIT) Working Group addresses the essential types of information associated with persistent identifiers. We have undertaken an effort to adopt the DTR and PIT outputs in the Data Portal of the Deep Carbon Observatory (DCO) and have received positive results.
Resource Discovery for Extreme Scale Collaboration (RDESC)
Principal Investigator: Karen Schuchardt, Jesse Weaver, and Eric Stephan
Co Investigator: Alan Chappell and Peter Fox
Description: Our objective is to develop a capability for describing, linking, searching and discovering resources used in collaborative science that is lightweight enough to be used as a component in any software system such as desktop user environments or dashboards but also scalable to millions of resources. A key design goal is to offer local control over resource descriptions thus reducing one of the bottlenecks to widespread adoption. We propose to build a prototype framework and associated services, the Resource Discovery for Extreme Scale Collaboration (RDESC), that meet these objectives.
TW LogoRolling Deck to Repository (R2R)
Principal Investigator: Suzanne Carbotte
Co Investigator: Vicki Ferrini
Description: With their global capability and diverse array of sensors, the U.S. academic research fleet is an essential mobile observing platform for ocean science. Data collected on every expedition are of high value, especially given the high costs and increasingly limited resources for ocean exploration. The Rolling Deck to Repository (R2R) program aims to develop comprehensive fleet-wide management of underway data to ensure preservation of and access to our national oceanographic research data resources.
SKIF Project LogoScientific Knowledge Integration Framework (SKIF)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
Description: The overall goal of this effort is to bring together key aspects of intelligent systems, namely data mining / knowledge extraction and semantic knowledge representation, and to prove the benefit of this approach by applying it to a science problem that is representative of NASA Science Mission Directorate research interests.
SeeSaw - A semantic visual computational platform (SeeSaw)
Principal Investigator: Joanne S. Luciano
Co Investigator: Vivien Marx
Description: SeeSaw is a semantic, visual, computational platform. The tool mines, sorts, visualizes, and put content into context, helping readers and authors see their community. It adds value to content that is already associated with a publication.
SPCDIS Project LogoSemantic Provenance Capture in Data Ingest Systems (SPCDIS)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
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.
TW LogoSemantic Workflow and Management of Provenance (SWaMP)
Principal Investigator: Peter Fox
Description: A joint effort between the Tetherless World Constellation at Rensselaer Polytechnic Institute and the The Commonwealth Scientific and Industrial Research Organisation (CSIRO).
SeSF Project LogoSemantic eScience Framework (SeSF)
Principal Investigator: Peter Fox
Co Investigator: Jim Hendler and Deborah L. McGuinness
Description: Over the past few years, semantic technologies have evolved and new tools are appearing. Part of the effort in this project will be to accommodate these advances in the new framework and lay out a sustainable software path for the (certain) technical advances. In addition to a generalization of the current data science interface, we will include an upper-level interface suitable for use by clearinghouses, and/or educational portals, digital libraries, and other disciplines.
DCO-DS LogoStrawberry Fields Forever (SFF)
Principal Investigator: Peter Fox and Johannes Goebel
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.
SDC LogoStreaming Data Characterization (SDC)
Co Investigator: Deborah L. McGuinness
Description: This project aims to leverage the novel notion of semantic importance to characterize the importance among the boundless streaming data, so as to provide better query results in terms of accuracy or recall, as well as improve the system response time.
TW LogoStreaming Hypothesis Reasoning (Shyre)
Principal Investigator: William Smith and Deborah L. McGuinness
Description: AIM will advance streaming reasoning techniques to overcome a limitation in contemporary inference that performs analysis only over data in a fixed cache or a moving window. This research will lead to methods that continuously shed light on proposed hypotheses as new knowledge arrives from streams of propositions, with a particular emphasis on the effect that removing the expectation of completeness has on the soundness and performance of symbolic deduction platforms.
TW Elixir: Web Interface for csv2rdf4lod Copnversion Automation (Elixir)
Principal Investigator: John S. 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.
ApartNet LogoTWC ApartNet (ApartNet)
Principal Investigator: John S. 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.
DCO-DS LogoTheory and Practice of Accountable Systems (TPAS)
Principal Investigator: Jim Hendler
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.
TAMI LogoTransparent and Accountable Datamining Initiative (TAMI)
Principal Investigator: Jim Hendler and Deborah L. McGuinness
Description: The TAMI Project is creating technical, legal, and policy foundations for transparency and accountability in large-scale aggregation and inferencing across heterogeneous information systems.
DCO-DS LogoVirtual Solar Terrestrial Observatory (VSTO)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
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. VSTO is funded by a grant from the National Science Foundation, Computer and Information Science and Engineering (CISE) in the Shared Cyberinfrastructure (SCI) division.