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» A taxonomy of argumentation models used for knowledge repres...
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ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 1 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
CIKM
2011
Springer
14 years 1 months ago
Keyword search over RDF graphs
Large knowledge bases consisting of entities and relationships between them have become vital sources of information for many applications. Most of these knowledge bases adopt the...
Shady Elbassuoni, Roi Blanco
GIS
2009
ACM
15 years 6 months ago
Data structures and intersection algorithms for 3D spatial data types
Apart from visualization tasks, three-dimensional (3D) data management features are not or only hardly available in current spatial database systems and Geographic Information Sys...
Tao Chen, Markus Schneider
EWC
2000
97views more  EWC 2000»
15 years 1 months ago
Improving the Rationale Capture Capability of QFD
The goals of Design Rationale Capture (DRC) are improving design quality and reducing design time. These general goals have led to the design of many DRC techniques originating fro...
Yoram Reich
CI
2011
93views more  CI 2011»
14 years 8 months ago
Supporting clinical processes and decisions by hierarchical planning and scheduling
This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment pro...
Juan Fernández-Olivares, Luis A. Castillo, ...