Paper Info
Title
Generalized representation and mapping for social-ecological data: Freeing data from the database
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.
Year
DOI
Venue
2012
10.1109/eScience.2012.6404486
eScience
Keywords
DocType
Citations 
intermediate data model,broader community,social-ecological research,general logical model,client view,textual data,scientific sub-domains,Freeing data,scientific discovery,Generalized representation,diverse social-ecological data source,logical model
Conference
1
PageRank 
References 
Authors
0.40
0
6
Name
Order
Citations
PageRank
Miao Chen111311.35
David B. Leake21369121.60
Julie England310.40
Scott Jensen45710.10
Xiaozhong Liu536848.27
Beth Plale61837142.80