activity
20182026
most citedPattern-based Visualization of Knowledge Graphs

2 citations · 5 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2025

Learning Local Causal World Models with State Space Models and Attention

Francesco Petri, Luigi Asprino, Aldo Gangemi

World modelling, i.e. building a representation of the rules that govern the world so as to predict its evolution, is an essential ability for any agent interacting with the physic…

cs.HC20212 cited

Pattern-based Visualization of Knowledge Graphs

Luigi Asprino, Christian Colonna, Misael Mongiovì +2

We present a novel approach to knowledge graph visualization based on ontology design patterns. This approach relies on OPLa (Ontology Pattern Language) annotations and on a catalo…

cs.DB20212 cited

Facade-X: an opinionated approach to SPARQL anything

Enrico Daga, Luigi Asprino, Paul Mulholland +1

The Semantic Web research community understood since its beginning how crucial it is to equip practitioners with methods to transform non-RDF resources into RDF. Proposals focus on…

cs.AI2021

Extraction of common conceptual components from multiple ontologies

Luigi Asprino, Valentina Anita Carriero, Valentina Presutti

Understanding large ontologies is still an issue, and has an impact on many ontology engineering tasks. We describe a novel method for identifying and extracting conceptual compone…

cs.AI20201 cited

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71

One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…

cs.AI2018

Empirical Analysis of Foundational Distinctions in Linked Open Data

Luigi Asprino, Valerio Basile, Paolo Ciancarini +1

The Web and its Semantic extension (i.e. Linked Open Data) contain open global-scale knowledge and make it available to potentially intelligent machines that want to benefit from i…