Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
Effective business processes must be able to accommodate changes in the environment in which they operate, e.g., new laws, changes in business strategy. The ability to encompass su...
Helen Schonenberg, Ronny Mans, Nick Russell, Natal...
We propose a variant of alternating time temporal logic (ATL) with imperfect information, perfect recall, epistemic modalities for the past and strategies which are required to be ...
Embedded systems operating on high data workloads are becoming pervasive. ECA rule engines provide a flexible environment to support the management, reconfiguration and execution o...
Pablo Ezequiel Guerrero, Kai Sachs, Stephan Butter...
There is a growing need for efficient and scalable semantic web queries that handle inference. There is also a growing interest in representing uncertainty in semantic web knowled...