State-of-the-art research on automated learning of ontologies from text currently focuses on inexpressive ontologies. The acquisition of complex axioms involving logical connective...
We propose a description-logic style extension of OWL 2 with nominal schemas which can be used like“variable nominal classes”within axioms. This feature allows ontology langua...
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Existence of crosscutting concerns in software requirements often intensifies complexity of software development. Modeling and analysis of these concerns at software architecture ...