Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Ontology matching consists of generating a set of correspondences between the entities of two ontologies. This process is seen as a solution to data heterogeneity in ontology-base...
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
Understanding distributed applications is a tedious and di cult task. Visualizations based on process-time diagrams are often used to obtain a better understanding of the executio...
Web applications security is one of the most daunting tasks today, because of security shift from lower levels of ISO OSI model to application level, and because of current situati...