Automating semantic metadata collection in the field
Authors
Kinkead, Laura
ORCID
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Other Contributors
McGuinness, Deborah L.
Nierzwicki-Bauer, Sandra A.
Hendler, James A.
Fox, Peter A.
Nierzwicki-Bauer, Sandra A.
Hendler, James A.
Fox, Peter A.
Issue Date
2015-05
Keywords
Computer science
Degree
MS
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0 United States
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
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
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
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.