Richly interlinked, machine-understandable data constitute the basis for the Semantic Web. We provide a framework, CREAM, that allows for creation of metadata. While the annotatio...
Background: Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These method...
Arunachalam Vinayagam, Coral del Val, Falk Schuber...
Abstract. This research aims at promoting sharing of knowledge about functionality of artifacts among engineers, which tends to be implicit in practice. In order to provide a conce...
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
In this paper, we introduce preferential regular path queries. These are regular path queries whose symbols are annotated with preference weights for “scaling” up or down the i...