5 citations · 27 across the 22 of their papers we have counts for
5 papers · 1 filter
Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding
Mattia Fumagalli, Marco Boffo, Daqian Shi +2
One of the significant barriers to the training of statistical models on knowledge graphs is the difficulty that scientists have in finding the best input data to address their pre…
A semantics-driven methodology for high-quality image annotation
Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao
Recent work in Machine Learning and Computer Vision has highlighted the presence of various types of systematic flaws inside ground truth object recognition benchmark datasets. Our…
Building Interoperable Electronic Health Records as Purpose-Driven Knowledge Graphs
Simone Bocca, Alessio Zamboni, Gabor Bella +5
When building a new application we are increasingly confronted with the need of reusing and integrating pre-existing knowledge. Nevertheless, it is a fact that this prior knowledge…
Incremental Image Labeling via Iterative Refinement
Fausto Giunchiglia, Xiaolei Diao, Mayukh Bagchi
Data quality is critical for multimedia tasks, while various types of systematic flaws are found in image benchmark datasets, as discussed in recent work. In particular, the existe…
Disentangling Domain Ontologies
Mayukh Bagchi, Subhashis Das
In this paper, we introduce and illustrate the novel phenomenon of Conceptual Entanglement which emerges due to the representational manifoldness immanent while incrementally model…