Paper Info
Title
Finding haystacks with needles: ranked search for data using geospatial and temporal characteristics
Abstract
The past decade has seen an explosion in the number and types of environmental sensors deployed, many of which provide a continuous stream of observations. Each individual observation consists of one or more sensor measurements, a geographic location, and a time. With billions of historical observations stored in diverse databases and in thousands of datasets, scientists have difficulty finding relevant observations. We present an approach that creates consistent geospatial-temporal metadata from large repositories of diverse data by blending curated and automated extracts. We describe a novel query method over this metadata that returns ranked search results to a query with geospatial and temporal search criteria. Lastly, we present a prototype that demonstrates the utility of these ideas in the context of an ocean and coastalmargin observatory.
Year
DOI
Venue
2011
10.1007/978-3-642-22351-8_4
SSDBM
Keywords
Field
DocType
coastalmargin observatory,consistent geospatial-temporal metadata,temporal characteristic,environmental sensor,automated extract,temporal search criterion,continuous stream,diverse databases,diverse data,search result,novel query method,database management,metadata
Geospatial analysis,Data mining,Metadata,Metadata repository,Observatory,Information retrieval,Ranking,Geospatial metadata,Computer science,Data element,Local information systems,Database
Conference
Citations 
PageRank 
References 
12
0.80
17
Authors
2
Name
Order
Citations
PageRank
V. M. Megler1415.16
David Maier256391666.90