Collection metadata solutions for digital library applications
Journal of the American Society for Information Science - Speical issue on integrating mutiple overlapping metadata standards
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
Information retrieval on the web
ACM Computing Surveys (CSUR)
Modern Information Retrieval
Toward the semantic geospatial web
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
The Geometry of Environmental Knowledge
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Finding Geographic Information: Collection-Level Metadata
Geoinformatica
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Web searching, search engines and Information Retrieval
Information Services and Use
Efficient exploration of large scientific databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Data exploration of turbulence simulations using a database cluster
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Introduction to Information Retrieval
Introduction to Information Retrieval
Scientific Mashups: Runtime-Configurable Data Product Ensembles
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
When big data leads to lost data
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Turning scientists into data explorers
Proceedings of the 2013 Sigmod/PODS Ph.D. symposium on PhD symposium
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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.