activity
20192024
most citedMobile social media usage and academic performance

271 citations · 389 across the 33 of their papers we have counts for

collaborators
Showing cs.AIShow all

11 papers · 1 filter

cs.AI2024

KAE: A Property-based Method for Knowledge Graph Alignment and Extension

Daqian Shi, Xiaoyue Li, Fausto Giunchiglia

A common solution to the semantic heterogeneity problem is to perform knowledge graph (KG) extension exploiting the information encoded in one or more candidate KGs, where the alig…

cs.AI20231 cited

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…

cs.AI2023

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…

cs.AI2023

Egocentric Hierarchical Visual Semantics

Luca Erculiani, Andrea Bontempelli, Andrea Passerini +1

We are interested in aligning how people think about objects and what machines perceive, meaning by this the fact that object recognition, as performed by a machine, should follow…

cs.AI2023

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…

cs.AI2022

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…