24 citations · 24 across the 4 of their papers we have counts for
4 papers
Recognizing Entity Types via Properties
Daqian Shi, Fausto Giunchiglia
The mainstream approach to the development of ontologies is merging ontologies encoding different information, where one of the major difficulties is that the heterogeneity motivat…
Towards Ranking Schemas by Focus
Mattia Fumagalli, Daqian Shi, Fausto Giunchiglia
The main goal of this paper is to evaluate knowledge base schemas, modeled as a set of entity types, each such type being associated with a set of properties, according to their fo…
RCRN: Real-world Character Image Restoration Network via Skeleton Extraction
Daqian Shi, Xiaolei Diao, Hao Tang +3
Constructing high-quality character image datasets is challenging because real-world images are often affected by image degradation. There are limitations when applying current ima…
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…