Legal-RDF.org1 publishes a practical ontology that models both the layout and content of a document and metadata about the document; these have been built using data models implici...
PVS is a highly automated framework for speci cation and veri cation. We show how the language and deduction features of PVS can be used to formalize, mechanize, and apply some us...
The aim of our work is to be able to do fully formal, machine verified proofs over Generic Haskellstyle polytypic programs. In order to achieve this goal, we embed polytypic prog...
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
The approaches to automatic formal verification of UML models known up to now require a finite bound on the number of objects existing at each point in time. In [4] we have observ...