Narock Tom

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Narock
First Name
Tom
ORCID
0000-0002-9785-4496

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  • Moving Image
    Collaborative research : EarthCube building blocks, leveraging semantics and linked data for geoscience data sharing and discovery, OceanLink
    ( 2013-10-28) Wiebe, Peter H. ; Chandler, Cynthia L. ; Raymond, Lisa ; Shepherd, Adam ; Finin, Tim ; Narock, Tom ; Arko, Robert A. ; Carbotte, Suzanne M. ; Hitzler, Pascal ; Cheatham, Michelle ; Krisnadhi, Adila
    The OceanLink EarthCube project will apply state-of-the-art Semantic Web Technologies to support data representation, discovery, analysis, sharing, and integration of datasets from the global oceans, and related resources including meeting abstracts and library holdings. Ships are a principal platform from which a wide spectrum of oceanographic data are collected. At the University of Maryland, Baltimore County, semantic relationships will be extracted from text for use in developing methods that efficiently identify relationships across distributed oceanographic datasets. At Wright State University integration of disparate data will occur by refining and applying leading edge technology from the Semantic Web, ontologies, and linked data. From the MBLWHOI Library, DSpace content will be published as Linked Open Data, providing relationships between oceanographic datasets, publications, conference presentations, and funded National Science Foundation projects. Teams of researchers at the Lamont-Doherty Earth Observatory and the Woods Hole Oceanographic Institution will develop Use Cases that represent the needs of the oceanographic research community and will publish oceanographic dataset catalogs as Linked Open Data. A key contribution will be semantically-enabled cyberinfrastructure components capable of automated data integration across distributed repositories. These efforts will ultimately lead to generalized computational techniques applicable to all of EarthCube.
  • Article
    Knowledge graphs to support real‐time flood impact evaluation
    (Association for the Advancement of Artificial Intelligence, 2022-03-31) Johnson, J. Michael ; Narock, Tom ; Singh-Mohudpur, Justin ; Fils, Douglas ; Clarke, Keith C. ; Saksena, Siddharth ; Shepherd, Adam ; Arumugam, Sankar ; Yeghiazarian, Lilit
    A digital map of the built environment is useful for a range of economic, emergency response, and urban planning exercises such as helping find places in app driven interfaces, helping emergency managers know what locations might be impacted by a flood or fire, and helping city planners proactively identify vulnerabilities and plan for how a city is growing. Since its inception in 2004, OpenStreetMap (OSM) sets the benchmark for open geospatial data and has become a key player in the public, research, and corporate realms. Following the foundations laid by OSM, several open geospatial products describing the built environment have blossomed including the Microsoft USA building footprint layer and the OpenAddress project. Each of these products use different data collection methods ranging from public contributions to artificial intelligence, and if taken together, could provide a comprehensive description of the built environment. Yet, these projects are still siloed, and their variety makes integration and interoperability a major challenge. Here, we document an approach for merging data from these three major open building datasets and outline a workflow that is scalable to the continental United States (CONUS). We show how the results can be structured as a knowledge graph over which machine learning models are built. These models can help propagate and complete unknown quantities that can then be leveraged in disaster management.
  • Dataset
    GeoLink Triple Store Data
    ( 2018-01-31) Arko, Robert A. ; Carbotte, Suzanne M. ; Chandler, Cynthia ; Cheatham, Michelle ; Fils, Douglas ; Hitzler, Pascal ; Hu, Yingjie ; Janowicz, Kyzysztof ; Ji, Peng ; Jones, Matt ; Krisnadhi, Adila ; Lehnert, Kerstin A. ; Mecum, Bryce ; Mickle, Audrey ; Narock, Tom ; Raymond, Lisa ; Schildhauer, Mark ; Shepherd, Adam ; Wiebe, Peter H.
    A growing collection of standard protocols, formats, and vocabularies, often characterized as the Semantic Web, offers a powerful approach for publishing research data online. The GeoLink project brings together experts from the geosciences, computer science, and library science in an effort to develop Semantic Web components that support discovery and reuse of data and knowledge. GeoLink's participating repositories include content from field expeditions, laboratory analyses, journal publications, conference presentations, theses/reports, and funding awards that span scientific studies from marine geology to marine ecosystems and biogeochemistry to paleoclimatology. One of the outcomes of this project is a network of Linked Data published by participating repositories using those ODPs, and tools to facilitate discovery of related content in multiple repositories. This item will be versioned periodically as the data is re-harvested and processed. The live dataset is currently available for query at http://data.geolink.org/sparql. A demo data application is available at http://demo.geolink.org/.