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AEI
2004
114views more  AEI 2004»
14 years 11 months ago
Physical concept ontology for the knowledge intensive engineering framework
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling. ...
Masaharu Yoshioka, Yasushi Umeda, Hideaki Takeda, ...
KER
2007
90views more  KER 2007»
14 years 11 months ago
PLTOOL: A knowledge engineering tool for planning and learning
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
Susana Fernández, Daniel Borrajo, Raquel Fu...
SEMWEB
2005
Springer
15 years 5 months ago
Rapid Benchmarking for Semantic Web Knowledge Base Systems
Abstract. We present a method for rapid development of benchmarks for Semantic Web knowledge base systems. At the core, we have a synthetic data generation approach for OWL that is...
Sui-Yu Wang, Yuanbo Guo, Abir Qasem, Jeff Heflin
AAAI
2006
15 years 1 months ago
Using an Ontology for Knowledge Acquisition
We describe an approach to distributed knowledge acquisition using an ontology. The ontology is used to represent and reason about soldier performance. These methods are embedded ...
Stacy Lovell, Webb Stacy
ICCSA
2003
Springer
15 years 5 months ago
Knowledge Grid Support for Treatment of Traumatic Brain Injury Victims
Traumatic brain injuries (TBIs) typically result from accidents in which the head strikes an object. Among all traumatic causes of death, the TBI is the most serious one. Moreover,...
Peter Brezany, A. Min Tjoa, Martin Rusnak, Jarmila...