MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
The dataset generated by a large-scale numerical simulation may include thousands of timesteps and hundreds of variables describing different aspects of the modeled physical pheno...
Modularity is a key requirement for collaborative ontology engineering and for distributed ontology reuse on the Web. Modern ontology languages, such as OWL, are logic-based, and ...
Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazako...
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
Rawichote Chalodhorn, David B. Grimes, Keith Groch...
The continuing soar in popularity when it comes to standardized information systems sold en masse under the labelling of Enterprise Resource Planning (ERP) Systems is somewhat kep...
Johan Magnusson, Andreas Nilsson, Fredrik Carlsson