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    Automating semantic metadata collection in the field

    Author
    Kinkead, Laura
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    175865_Kinkead_rpi_0185N_10610.pdf (3.780Mb)
    Other Contributors
    McGuinness, Deborah L.; Nierzwicki-Bauer, Sandra A.; Hendler, James A.; Fox, Peter A.;
    Date Issued
    2015-05
    Subject
    Computer science
    Degree
    MS;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
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    URI
    https://hdl.handle.net/20.500.13015/1432
    Abstract
    In the past few decades, the field of ecology has grown from a collection of disparate researchers who collected data on their local phenomenon by hand, to large projects fueled by automated sensor networks that rely on sharing data to answer questions of extraordinary scale and complexity. Semantic technologies offer many opportunities for better data management in ecology, but also pose a challenging learning curve to already busy researchers. This paper presents a mobile application for recording semantic metadata about sensor network deployments in real time, in the field, and with no prior knowledge of semantics. This application enables more efficient and less error-prone metadata collection, and generates structured and shareable metadata in seconds.;
    Description
    May 2015; School of Science
    Department
    Dept. of Computer Science;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.;
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