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JDWM
2008
97views more  JDWM 2008»
13 years 7 months ago
Seismological Data Warehousing and Mining: A Survey
Earthquake data composes an ever increasing collection of earth science information for post-processing analysis. Earth scientists, local or national administration officers and s...
Gerasimos Marketos, Yannis Theodoridis, Ioannis S....
COOPIS
1996
IEEE
13 years 11 months ago
A Methodology for Building a Data Warehouse in a Scientific Environment
Rational drug design is an example where integrated access to heterogeneous scientific data is urgently needed, as it becomes rapidly available due to new experimental and computa...
Karl Aberer, Klemens Hemm
OTM
2009
Springer
14 years 2 months ago
Ontology-Driven Provenance Management in eScience: An Application in Parasite Research
Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experime...
Satya Sanket Sahoo, D. Brent Weatherly, Raghava Mu...
SIGMOD
1996
ACM
154views Database» more  SIGMOD 1996»
13 years 11 months ago
METU Interoperable Database System
METU INteroperable Database System (MIND) is a multidatabase system that aims at achieving interoperability among heterogeneous, federated DBMSs. MIND architecture is based on OMG...
Asuman Dogac, Ugur Halici, Ebru Kilic, Gökhan...
USENIX
1994
13 years 9 months ago
SNP: An Interface for Secure Network Programming
SNP provides a high-level abstraction for secure end-toend network communications. It supports both stream and datagram semantics with security guarantees (e.g., data originauthen...
Thomas Y. C. Woo, Raghuram Bindignavle, Shaowen Su...