241 citations · 269 across the 8 of their papers we have counts for
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cs.AI2015
A Probabilistic Approach to Knowledge Translation
Shangpu Jiang, Daniel Lowd, Dejing Dou
In this paper, we focus on a novel knowledge reuse scenario where the knowledge in the source schema needs to be translated to a semantically heterogeneous target schema. We refer…
cs.AI2015★ 1 cited
Ontology Matching with Knowledge Rules
Shangpu Jiang, Daniel Lowd, Dejing Dou
Ontology matching is the process of automatically determining the semantic equivalences between the concepts of two ontologies. Most ontology matching algorithms are based on two t…
cs.LG2015★ 15 cited
The Libra Toolkit for Probabilistic Models
Daniel Lowd, Amirmohammad Rooshenas
The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, an…