5 citations · 24 across the 21 of their papers we have counts for
8 papers · 1 filter
Aligning Visual and Lexical Semantics
Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao
We discuss two kinds of semantics relevant to Computer Vision (CV) systems - Visual Semantics and Lexical Semantics. While visual semantics focus on how humans build concepts when…
Popularity Driven Data Integration
Fausto Giunchiglia, Simone Bocca, Mattia Fumagalli +2
More and more, with the growing focus on large scale analytics, we are confronted with the need of integrating data from multiple sources. The problem is that these data are imposs…
A Diversity-Aware Domain Development Methodology
Mayukh Bagchi
The development of domain ontological models, though being a mature research arena backed by well-established methodologies, still suffer from two key shortcomings. Firstly, the is…
LiveSchema: A Gateway Towards Learning on Knowledge Graph Schemas
Mattia Fumagalli, Marco Boffo, Daqian Shi +2
One of the major barriers to the training of algorithms on knowledge graph schemas, such as vocabularies or ontologies, is the difficulty that scientists have in finding the best i…
Representation Heterogeneity
Fausto Giunchiglia, Mayukh Bagchi
Semantic Heterogeneity is conventionally understood as the existence of variance in the representation of a target reality when modelled, by independent parties, in different datab…
Visual Ground Truth Construction as Faceted Classification
Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao
Recent work in Machine Learning and Computer Vision has provided evidence of systematic design flaws in the development of major object recognition benchmark datasets. One such exa…