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» Development of Large Scientific Knowledge Bases
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HPDC
1999
IEEE
15 years 2 months ago
A Network-Aware Distributed Storage Cache for Data Intensive Environments
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware se...
Brian Tierney, Jason Lee, Brian Crowley, Mason Hol...
KR
2000
Springer
15 years 1 months ago
An Environment for Merging and Testing Large Ontologies
Large-scale ontologies are becoming an essential component of many applications including standard search (such as Yahoo and Lycos), ecommerce (such as Amazon and eBay), configura...
Deborah L. McGuinness, Richard Fikes, James Rice, ...
DEBU
2010
180views more  DEBU 2010»
14 years 10 months ago
Searching RDF Graphs with SPARQL and Keywords
The proliferation of knowledge-sharing communities like Wikipedia and the advances in automated information extraction from Web pages enable the construction of large knowledge ba...
Shady Elbassuoni, Maya Ramanath, Ralf Schenkel, Ge...
IJCAI
1989
14 years 11 months ago
Comparing the Conceptual Systems of Experts
The knowledge to be acquired for the development of knowledge based systems is often distributed across a group of experts rather than available for elicitation from a single expe...
Brian R. Gaines, Mildred L. G. Shaw
HICSS
2002
IEEE
101views Biometrics» more  HICSS 2002»
15 years 3 months ago
Workflow-Centric Distribution of Organizational Knowledge: The Case of Document Flow Coordination
Workflow-centric knowledge distribution mechanisms have been proposed recently by a number of researchers to coordinate the flow of codified knowledge in large organizations. This...
J. Leon Zhao