Approximated trial and error analysis in scientific databases
Information Systems - Special issue: Best papers from EDBT 2002
Optimizing Scientific Databases for Client Side Data Processing
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Scientific data repositories: designing for a moving target
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
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The ESP2Net project is developing technologies that enable effective collaborative scientific data sharing to support collaboration among scientists, accelerate production of scientific data products, and improve understanding of the science. We have defined a Scientific Experiment Markup Language (SEML) to capture scientific experiments in hyper-media documents as a basic unit of information sharing. A collection of SEML documents can be viewed as an online electronic experiment logbook that captures the entire experiment experience by including the process and inter-relationships between experiments to allow an experiment to be re-created. Complementary means of sharing the experiences from scientific experiments (browsing, searching, dissemination, and mining) are provided by integrating OASIS transparent distributed scientific object access, Conquest dynamic distributed query processing services, and active information dissemination services introduced in semantic multicast.