Comparative analysis of six XML schema languages
ACM SIGMOD Record
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Web services and data integration
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
An XML-Based Distributed Metadata Server (DIMES) Supporting Earth Science Metadata
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
Semistructured data: the TSIMMIS experience
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
A Distributed Enhanced Server for Multidimensional Scientific Data
Computing in Science and Engineering
A study on a lightweight scientific workflow system for astronomical e-science service
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
A scientific data extraction architecture using classified metadata
The Journal of Supercomputing
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Satellites and other Earth-observing systems produce huge amounts of data at ever-expanding rates. The EOS satellite Terra alone adds more than half a terabyte of data each day, and other Earth-observing platforms and computer weather and climate models produce even more. To use this data in their research effectively, scientists need distributed user-centric information systems with effective search, analysis, andordering capabilities.