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» Extracting causal graphs from an open provenance data model
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CONCURRENCY
2008
71views more  CONCURRENCY 2008»
13 years 5 months ago
Extracting causal graphs from an open provenance data model
Simon Miles, Paul T. Groth, Steve Munroe, Sheng Ji...
FGCS
2011
123views more  FGCS 2011»
13 years 7 days ago
Mapping attribution metadata to the Open Provenance Model
A description of a data item’s provenance can be provided in different forms, and which form is best depends on the intended use of that description. Because of this, differen...
Simon Miles
IPAW
2010
13 years 3 months ago
Janus: From Workflows to Semantic Provenance and Linked Open Data
Data provenance graphs are form of metadata that can be used to establish a variety of properties of data products that undergo sequences of transformations, typically specified as...
Paolo Missier, Satya Sanket Sahoo, Jun Zhao, Carol...
JMLR
2010
143views more  JMLR 2010»
13 years 1 days ago
Beware of the DAG!
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
A. Philip Dawid
CVPR
2009
IEEE
14 years 2 days ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...