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SEMWEB
2010
Springer
15 years 4 months ago
Optimize First, Buy Later: Analyzing Metrics to Ramp-Up Very Large Knowledge Bases
As knowledge bases move into the landscape of larger ontologies and have terabytes of related data, we must work on optimizing the performance of our tools. We are easily tempted t...
Paea LePendu, Natalya Fridman Noy, Clement Jonquet...
VLDB
2004
ACM
163views Database» more  VLDB 2004»
15 years 11 months ago
Compressing Large Boolean Matrices using Reordering Techniques
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...
INFFUS
2008
97views more  INFFUS 2008»
15 years 6 months ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
BIRTHDAY
2003
Springer
15 years 11 months ago
Spatial Data Management for Virtual Product Development
Abstract: In the automotive and aerospace industry, millions of technical documents are generated during the development of complex engineering products. Particularly, the universa...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...
CIKM
2011
Springer
14 years 6 months ago
Semantic data markets: a flexible environment for knowledge management
We present Nyaya, a system for the management of Semantic-Web data which couples a general-purpose and extensible storage mechanism with efficient ontology reasoning and querying ...
Roberto De Virgilio, Giorgio Orsi, Letizia Tanca, ...