Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Web search logs are of growing importance to researchers as they help understanding search behavior and search engine performance. However, search logs typically contain sensitive...
An increasing number of scientific communities rely on Semantic Web ontologies to share and interpret data within and across research domains. These common knowledge representatio...
ORN Additive is a prototype tool that was developed to show how the gap between database modeling and implementation can be reduced—more specifically, to show how associations d...
— With the advent of Model-Driven Engineering (MDE) several model transformation approaches and languages have been developed in the last 5 years. Most of these existing approach...
Manuel Wimmer, Michael Strommer, Horst Kargl, Gerh...