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» Query Processing Using Ontologies
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OOPSLA
2007
Springer
16 years 28 days ago
Lost in translation: formalizing proposed extensions to c#
Current real-world software applications typically involve heavy use of relational and XML data and their query languages. Unfortunately object-oriented languages and database que...
Gavin M. Bierman, Erik Meijer, Mads Torgersen
ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
16 years 11 days ago
Learning-Assisted Multi-Step Planning
— Probabilistic sampling-based motion planners are unable to detect when no feasible path exists. A common heuristic is to declare a query infeasible if a path is not found in a ...
Kris K. Hauser, Timothy Bretl, Jean-Claude Latombe
AP2PC
2004
Springer
16 years 6 days ago
Peer-to-Peer Semantic Integration of XML and RDF Data Sources
Abstract. Peer-to-Peer (P2P) data management systems combine traditional schema-based integration techniques with the P2P infrastructure. In this paper, we propose a P2P data manag...
Isabel F. Cruz, Huiyong Xiao, Feihong Hsu
GIS
2009
ACM
15 years 10 months ago
Opportunistic sampling in wireless sensor networks
In an active WSN where user queries are regularly processed, a significant proportion of nodes relay and overhear data generated by other nodes in the network. In this paper, we ...
Muhammad Umer, Egemen Tanin, Lars Kulik
196
Voted
AAAI
1990
15 years 8 months ago
Symbolic Probabilistic Inference in Belief Networks
The Symbolic Probabilistic Inference (SPI) Algorithm [D'Ambrosio, 19891 provides an efficient framework for resolving general queries on a belief network. It applies the conc...
Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Fa...