Abstract. Dealing with heterogeneous ontologies by means of semantic mappings has become an important area of research and a number of systems for discovering mappings between onto...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
: Database-internal statistics are very important for cost-based query optimizers. Only if an optimizer has accurate statistical information about data, it provides excellent execu...
Modeling languages have been evolving at a high pace, encouraging the use of automatic code generators for transforming models to programs. Automatic code generators should enable ...
We propose a type and effect system for authentication protocols built upon a tagging scheme that formalizes the intended semantics of ciphertexts. The main result is that the val...