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Dalia E Varanka, PhD (Former Employee)

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Use of Controlled Vocabularies in USGS Information Applications: Requirements Analysis for Automated Processes and Services (Bureau-wide Application)

Large online data catalogs use controlled vocabularies to categorize datasets in ways that allow end users to sort and select data matching their needs. The eventual goal of this project is to build functional services so that the USGS Thesaurus and other USGS-controlled vocabularies will be available to the English-speaking scientific community, especially within the USGS where they can...
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Community for Data Integration (CDI)
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Use of Controlled Vocabularies in USGS Information Applications: Requirements Analysis for Automated Processes and Services (Bureau-wide Application)

Large online data catalogs use controlled vocabularies to categorize datasets in ways that allow end users to sort and select data matching their needs. The eventual goal of this project is to build functional services so that the USGS Thesaurus and other USGS-controlled vocabularies will be available to the English-speaking scientific community, especially within the USGS where they can be used t
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Grammar To Graph, an approach for semantic transformation of annotations to triples

Linguistic representation of geographic knowledge is semantically complex and particularly challenging when employing geographic information technology to automate interpreted analysis dealing with unstructured knowledge. This study describes an approach called GrammarToGraph (G2G) that applies dependency grammar rules through natural language processing to transform annotation data into...
Authors
Dalia E. Varanka, Emily Abbott
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Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS)

Open knowledge network roadmap: Powering the next data revolution

Open access to shared information is essential for the development and evolution of artificial intelligence (AI) and AI-powered solutions needed to address the complex challenges facing the nation and the world. The Open Knowledge Network (OKN), an interconnected network of knowledge graphs, would provide an essential public-data infrastructure for enabling an AI-driven future. It would...
Authors
Chaitanya Baru, Martin Halbert, Lara Campbell, Tess DeBlanc-Knowles, Jemin George, Wo Chang, Adam Pah, Douglas Maughan, Ilya Zaslavsky, Amanda Stathopoulos, Ellie Young, Kat Albrecht, Amit P. Sheth, Emanuel Sallinger, Katerine Osatuke, Angela Rizk-Jackson, Eric Jahn, Kenneth Berkowitz, Bandana Kar, Erica Smith, Krzystof Janowicz, Brian Handspicker, Esther Jackson, Lauren Sanders, Chengkai Li, Florence Hudson, Lilit Yeghiazarian, Cogan Shimizu, Glenn Ricart, Louiqa Raschid, Dalia E. Varanka, Greg Seaton, Luis Amaral, Oktie Hassanzadeh, Silviu Cucerzan, Matt Bishop, Ora Lassila, Sharat Israni, Matthew Lange, Pascal Hitzler, Ryan McGranaghan, Michael Cafarella, Paul Wormeli, Todd Bacastow, Sam Klein, Murat Omay, Sergio Baranzini, Ying Ding, Nariman Ammar
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Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS)

A geospatial knowledge graph prototype for national topographic mapping

Knowledge graphs are a form of database representation and handling that show the potential to better meet the challenges of data interoperability, semi-automated information reasoning, and information retrieval. Geospatial knowledge graphs (GKG) have at their core specialized forms of applied ontology that provide coherent spatial context to a domain of information including non-spatial...
Authors
Dalia E. Varanka
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Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS), National Geospatial Technical Operations Center

GeoAI in the US Geological Survey for topographic mapping

Geospatial artificial intelligence (GeoAI) can be defined broadly as the application of artificial intelligence methods and techniques to geospatial data, processes, models, and applications. The application of these methods to topographic data and phenomena is a focus of research in the US Geological Survey (USGS). Specifically, the USGS has researched and developed applications in...
Authors
E. Lynn Usery, Samantha Arundel, Ethan J. Shavers, Larry V. Stanislawski, Philip T. Thiem, Dalia E. Varanka
By
Core Science Systems Mission Area, National Geospatial Program, Center of Excellence for Geospatial Information Science (CEGIS), National Geospatial Technical Operations Center

GIS object data properties

Data properties are characteristics of GIS attribute systems and values whose design and format impacts analytical and computational processing. Geospatial data are expressed at conceptual, logical, and physical levels of database abstraction intended to represent geographical information. The appropriate design of attribute systems and selection of properties should be logically...
Authors
Dalia E. Varanka
By
Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS), National Geospatial Technical Operations Center

Creating annotations for web ontology language ontology generated from relational databases

Many approaches that have been proposed that allow users to create a Web Ontology Language (OWL) ontology from a relational database fail to include metadata that are inherent to the database tables. Without metadata, the resulting ontology lacks annotation properties. These properties are key when performing ontology alignment. This paper proposes a method to include relevant metadata...
Authors
Matthew Edward Wagner, Tanner Edward Fry, Jacques Jules Bourquin, Dalia E. Varanka
By
Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS), National Geospatial Technical Operations Center

Improving geospatial query performance of an interoperable geographic situation-awareness system (IGSAS) for disaster response

Disaster response operations require fast and coordinated actions based on the real-time disaster situation information. Although Volunteered Geographic Information (VGI) or crowdsourced geospatial data applications have demonstrated to be valuable tools for gathering real-time disaster situation information, they only provide limited utility for disaster response coordination because of...
Authors
Chuanrong Zhang, Tian Zhao, E. Lynn Usery, Dalia E. Varanka, Weidong Li
By
National Geospatial Program, Center of Excellence for Geospatial Information Science (CEGIS)

A system design for implementing advanced feature descriptions for a map knowledge base

A prototype system to explore Linked Data that semantically integrates geospatial data in various formats from different publication sources with data from The National Map of the U.S. Geological Survey is presented. The focus is on accessing advanced feature descriptions for data from The National Map with data coreferenced from other sources. The prototype uses Geoserver to access The...
Authors
Matthew Edward Wagner, Dalia E. Varanka, E. Lynn Usery
By
Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS), National Geospatial Technical Operations Center

Integrating the sociology of space with geospatial semantics relation properties for data graphs

This research posits that socially constructed spatial relations address concepts of interactions instead of intersections, human/tool agents instead of physical processes, and broader ranges of geographical outcomes. The hypothesis is that social space can be represented by using patterns of logic relations between sets of entities. The data corpus of spatial relations was extracted...
Authors
Dalia E. Varanka
By
Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS), National Geospatial Technical Operations Center

Alignment of surface water ontologies: A comparison of manual and automated approaches

More data are being collected about the world around us than ever before, but effectively using this information requires different data stores to be integrated in such a way that they can be seamlessly queried and analyzed. Automated alignment algorithms exist to facilitate this data integration challenge. In this paper we examine the utility of two current leading automated alignment...
Authors
Michelle Cheatham, Dalia E. Varanka, Fatima Arauz, Lu Zhou
By
Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS), National Geospatial Technical Operations Center

Semantically supported linked data mapping

Semantic technology based on the Resource Description Framework (RDF) modeling environment has introduced new data management capabilities that can lead to innovative cartographic techniques. This report describes research toward more semantically expressive linked geospatial data mapping, topics of research, and an avenue for further international collaboration.
Authors
Dalia E. Varanka
By
Core Science Systems Mission Area, Center of Excellence for Geospatial Information Science (CEGIS)

Topographic mapping evolution: From field and photogrammetric data collection to GIS production and Linked Open Data

Whither the topographic map? Topographic mapping historically has been approached as a map factory operation through the period 1879-1990. During this time, data were field and photogrammetrically collected; cartographically verified and annotated creating a compilation manuscript; further edited, generalized, symbolized, and produced as a graphic output product using lithography, or...
Authors
E. Lynn Usery, Dalia E. Varanka, Larry R. Davis
By
Core Science Systems Mission Area, National Geospatial Program, Center of Excellence for Geospatial Information Science (CEGIS), National Geospatial Technical Operations Center

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