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Generalized Representation and Mapping for Social-Ecological Data: Freeing Data from the Database

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dc.contributor.author Jensen, Scott
dc.contributor.author Plale, Beth
dc.contributor.author Liu, Xiaozhong
dc.contributor.author Chen, Miao
dc.contributor.author Leake, David
dc.contributor.author England, Julie
dc.date.accessioned 2013-04-08T15:42:57Z
dc.date.available 2013-04-08T15:42:57Z
dc.date.issued 2012 en_US
dc.identifier.uri https://hdl.handle.net/10535/8787
dc.description.abstract "Scientific discovery increasingly requires collaboration between scientific sub-domains that often have different representations for their data. To bridge gaps between varying domain representations, researchers are developing metadata and semantic representations meaningful to broader communities. Through exploiting these representations we propose a logical model and architecture by which cross-domain researchers can more easily discover, use, and eventually archive, data. In this paper we present an architecture, intermediate data model, and methodology for mapping diverse social-ecological data sources stored in relational databases to a common representation, and for classifying textual data using machine learning. The results are visualized through client views that are built against the general logical model, and applied against a longitudinal database from social-ecological research." en_US
dc.language English en_US
dc.subject data analysis--models en_US
dc.subject sustainability en_US
dc.title Generalized Representation and Mapping for Social-Ecological Data: Freeing Data from the Database en_US
dc.type Conference Paper en_US
dc.type.published unpublished en_US
dc.type.methodology Case Study en_US
dc.subject.sector General & Multiple Resources en_US
dc.identifier.citationconference 2012 IEEE 8th International Conference on E-Science en_US
dc.identifier.citationconfdates October 8-12 en_US
dc.identifier.citationconfloc Chicago, IL en_US

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