activity
20162024
most citedComplex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK

25 citations · 57 across the 24 of their papers we have counts for

collaborators
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9 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.AI2024

From Knowledge Organization to Knowledge Representation and Back

Fausto Giunchiglia, Mayukh Bagchi, Subhashis Das

Knowledge Organization (KO) and Knowledge Representation (KR) have been the two mainstream methodologies of knowledge modelling in the Information Science community and the Artific…

cs.AI20243 cited

From Knowledge Representation to Knowledge Organization and Back

Fausto Giunchiglia, Mayukh Bagchi

Knowledge Representation (KR) and facet-analytical Knowledge Organization (KO) have been the two most prominent methodologies of data and knowledge modelling in the Artificial Inte…

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…