Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
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...
This paper presents a method for reducing the cost of test generation. A spanning set for a coverage criterion is a set of entities such that exercising every entity in the spannin...
Software architecture plays a central role in developing software systems that satisfy functionality and security requirements. However, little has been done to integrate system d...
Enabling the Semantic Web requires solving the semantic heterogeneity problem, for which ontology matching methods have been proposed. These methods rely on similarity measures tha...