157 citations · 173 across the 7 of their papers we have counts for
7 papers
LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain
Antonio De Santis, Marco Balduini, Matteo Belcao +3
Large manufacturing companies face challenges in information retrieval due to data silos maintained by different departments, leading to inconsistencies and misalignment across dat…
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
Federico Giannini, Emanuele Della Valle
Internet of Things (IoT) Analytics often involves applying machine learning (ML) models on data streams. In such scenarios, traditional ML paradigms face obstacles related to conti…
cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
Federico Giannini, Giacomo Ziffer, Emanuele Della Valle
Dealing with an unbounded data stream involves overcoming the assumption that data is identically distributed and independent. A data stream can, in fact, exhibit temporal dependen…
Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data
Antonio De Santis, Marco Balduini, Federico De Santis +4
Aerospace manufacturing companies, such as Thales Alenia Space, design, develop, integrate, verify, and validate products characterized by high complexity and low volume. They care…
Semantic Foundations of Seraph Continuous Graph Query Language
Emanuele Falzone, Riccardo Tommasini, Emanuele Della Valle +6
The scientific community has been studying graph data models for decades. Their high expressiveness and elasticity led the scientific community to design a variety of graph data mo…
The Future is Big Graphs! A Community View on Graph Processing Systems
Sherif Sakr, Angela Bonifati, Hannes Voigt +38
Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users a…