— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Answering queries posed over knowledge bases is a central problem in knowledge representation and database theory. In databases, query containment is one of the important query op...
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Abstract. We describe the instance store, a system for reasoning about individuals (i.e., instances of classes) in OWL ontologies. By using a hybrid reasoner/database architecture,...