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.
DTDI Project LogoDeep Time Data Infrastructure (DTDI)
Principal Investigator: Peter Fox
Description: Earth’s living and non-living components have co-evolved for 4 billion years through numerous positive and negative feedbacks. Yet our ability to document, model, and explore these complex intertwined changes has been hampered by a lack of data synthesis and integration from many complementary disciplines—mineralogy, petrology, paleobiology, geochronology, proteomics, geochemistry, and more. The rise of oxygen exemplifies the co-evolution of rocks and life, and underscores both the tantalizing opportunities and technical challenges of deciphering transient characteristics of Earth’s storied past.
DOfAMP Project LogoDeveloping Ontologies for Additive Manufacturing Processes (DOfAMP)
Principal Investigator: Jim Hendler
Co Investigator: Peter Fox and Robert Hull
Description: We propose the development of the field of materials processing ontology so that the US establishes leadership in this critical technological arena. The goal is the development of a framework, language and algorithm set for organizing and categorizing the myriad relationships between materials processing, properties and structure. No ubiquitous framework currently exists for relating materials processing parameters to properties and structure that translates across multiple materials fields and technologies. In essence, an advanced “Dewey Decimal System” is needed for materials processing, such that data and knowledge that is developed in one materials processing technology can cross-pollinate across other materials technologies.
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.
DCO-DS LogoLinking Open Government Data (LOGD)
Principal Investigator: Jim Hendler and Deborah L. McGuinness
Description: The LOGD project investigates the role of Semantic Web technologies, especially Linked Data, in producing, enhancing and utilizing government data published on and other websites.
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.
NOCV Project LogoNational Ocean Council Vocabulary (NOCV)
Description: The objective of the NOCV project is to demonstrate technical capabilities that are available and can be deployed to implement solutions to key needs identified in the National Ocean Policy in regard to data and the decision-support requirements that arise from data-oriented questions.
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.
Description: Tasks for various TWC projects related to data access and the OPeNDAP software products.
ORGPedia LogoORGPedia Corporate Intelligence (ORGPedia)
Principal Investigator: Jim Hendler
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.
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
Nanomine LogoOntology-Enabled Polymer Nanocomposite Open Community Data Resource (Nanomine)
Principal Investigator: Linda Schadler, Wei Chen, Cate Brinson, and Deborah L. McGuinness
Description: Our evolving semantics=driven data resource, named NanoMine, is an open access, user friendly, living, growing, data resource for the polymer nanocomposites community that is scalable and enables improved understanding of processing – structure - property relationships and thus facilitates faster nanocomposite design and insertion into advanced applications. By bringing together the data that is scattered throughout the public literature and private files and creating a protocol for recording and tagging data, this resource is an unprecedented compilation of information that is accessible. Tools within the resource allow users to visualize complex data, analyze images from their work, and design new polymer nanocomposites materials. For NanoMine to realize broad community acceptance and address scientific questions at the forefront of technology, it marries cutting edge cyber infrastructure with a robust set of data and tools.
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: Jesse Weaver, Karen Schuchardt, 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.
SSIII LogoSemantic Sea Ice Interoperability Initiative (SSIII)
Principal Investigator: Siri Jodha Singh Khalsa, Ruth Duerr, and Mark Parsons
Co Investigator: Peter Fox and 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.
SemantAQUA LogoSemantic 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 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.
S2S Project LogoSemantically Enabled Facetd Browser (S2S)
Principal Investigator: Peter Fox
Co Investigator: Stephan Zednik
Description: S2S is a user interface framework that leverages the machine-readable semantics of data, services, and user interface components, or "widgets". S2S automates various tasks in UI development for search interfaces.
SESDI Project LogoSemantically-Enabled Science Data Integration (SESDI)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
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. In many cases, syntax-only interoperability IS the state-of-the-art. In order for scientists and non-scientists to discover, access, and use data from unfamiliar sources, they are forced to learn details of the data schema, other people¿s naming schemes and syntax decisions. Our work is aimed at providing scientists with the option of describing what they are looking for in terms that are meaningful and natural to them, instead of in a syntax that is not. The missing element in enabling the higher-level interconnections is the technology of ontologies, ontology-equipped tools, and semantically aware interfaces between science components. Ontologies fill a major technology gap in machine-to-machine communication across multiple disciplines to advance Earth system science by enabling data integration without the need for human intervention. This project, the Semantically-Enabled Science Data Integration (SESDI), will demonstrate how ontologies implemented within existing distributed technology frameworks will provide essential, re-useable, and robust, support for an evolution to science measurement processing systems (or frameworks) as well as for data and information systems (or framework) support for NASA Science Focus Areas and Applications.
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: Deborah L. McGuinness and William Smith
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.
TWC Project LogoTWC Vocabulary Development (TWC_Schemas)
Principal Investigator: Jim Hendler
Co Investigator: Joshua Shinavier
Description: provides a collection of schemas — html tags — that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google, Yahoo! and Yandex rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Since early 2012 researchers at TWC RPI have been working with government and research data providers to define vocabularies for expressing the structured data that powers their web sites, using on-page markup based on vocabularies. In particular, we developed the extension, a concise vocabulary that extends for describing datasets and data catalogs. Current work includes applying Dataset to scientific datasets and developing new extensions for use by Web Observatories
TW LogoTea Ontology (ROBOT)
Description: Class project for Ontology Engineering Spring 2016, by Cara Reedy and Katie Chastain
TAF LogoThe Asthma Files (TAF)
Principal Investigator: Michael Fortun
Co Investigator: Kim Fortun and Peter Fox
Description: The Asthma Files is an electronic archive of text, still images, video and audio that illustrate multiple perspectives on asthma-- from the vantage point of affected people in different locales and communities, heath care providers, and scientists from many different disciplines.
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.
ToolMatch LogoToolMatch (ToolMatch)
Description: or a given dataset, it is difficult to find the tools that can be used to work with the dataset. In many cases, the information that Tool A works with Dataset B is somewhere on the Web, but not in a readily identifiable or discoverable form. In other cases, particularly more generalized tools, the information does not exist at all, until somebody tries to use the tool on a given dataset. Thus, the simplest, most prevalent use case is for a user to search for the tools that can be used with a given dataset. A further refinement would be to specify what the tool can do with the dataset, e.g., read, visualize, map, analyze, reformat.
TAMI LogoTransparent and Accountable Datamining Initiative (TAMI)
Principal Investigator: Deborah L. McGuinness and Jim Hendler
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.