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20212025
most citedTowards an Ontology-Driven Approach for Process-Aware Risk Propagation

9 citations · 18 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.AI2024★ 2 cited

WATCHDOG: an ontology-aWare risk AssessmenT approaCH via object-oriented DisruptiOn Graphs

Stefano M. Nicoletti, E. Moritz Hahn, Mattia Fumagalli +2

When considering risky events or actions, we must not downplay the role of involved objects: a charged battery in our phone averts the risk of being stranded in the desert after a…

cs.AI2024★ 1 cited

Mining Frequent Structures in Conceptual Models

Mattia Fumagalli, Tiago Prince Sales, Pedro Paulo F. Barcelos +6

The problem of using structured methods to represent knowledge is well-known in conceptual modeling and has been studied for many years. It has been proven that adopting modeling p…

cs.AI2023★ 1 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

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…

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…

cs.AI2022

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…