We introduce a model of uncertainty where documents are not uniquely identified in a reference network, and some links may be incorrect. It generalizes the probabilistic approach ...
Identity uncertainty is the task of deciding whether two descriptions correspond to the same object. In this paper we discuss the identity uncertainty problem in the context of the...
The collection of multiple genome-scale datasets is now routine, and the frontier of research in systems biology has shifted accordingly. Rather than clustering a single dataset t...
Balaji S. Srinivasan, Nigam H. Shah, Jason Flannic...
In this contribution, we propose an improved system architecture focusing on system reference and protocol stack for broadband wireless access networks. The proposal aims to constr...
The tutorial first addresses requirements and semantic problems to integrate digital information into large scale, meaningful networks of knowledge that support not only access to...