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TKDE
2010
224views more  TKDE 2010»
9 years 8 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
ESWS
2008
Springer
10 years 4 days ago
Pronto: A Non-monotonic Probabilistic Description Logic Reasoner
Abstract. The demonstration presents Pronto - a prototype of a nonmonotonic probabilistic reasoner for very expressive Description Logics. Pronto is built on top of the OWL DL reas...
Pavel Klinov
ACL
2010
9 years 8 months ago
PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
Mark Johnson
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
10 years 7 months ago
Topic Evolution in a Stream of Documents.
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Alexander Hinneburg, Andrè Gohr, Myra Spili...
FOIS
2008
9 years 11 months ago
Cognitive Context and Arguments from Ontologies for Learning
The deployment of learning resources on the web by different experts has resulted in the accessibility of multiple viewpoints about the same topics. In this work we assume that lea...
Christiana Panayiotou, Brandon Bennett
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