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dc.rights.licenseCC BY-NC-ND. 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.
dc.contributorMcGuinness, Deborah L.
dc.contributorNierzwicki-Bauer, Sandra A.
dc.contributorHendler, James A.
dc.contributorFox, Peter A.
dc.contributor.authorKinkead, Laura
dc.date.accessioned2021-11-03T08:24:44Z
dc.date.available2021-11-03T08:24:44Z
dc.date.created2015-06-09T13:36:59Z
dc.date.issued2015-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/1432
dc.descriptionMay 2015
dc.descriptionSchool of Science
dc.description.abstractIn 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.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectComputer science
dc.titleAutomating semantic metadata collection in the field
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid175864
dc.digitool.pid175865
dc.digitool.pid175866
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Computer Science


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CC BY-NC-ND. 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.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. 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.