Simone Bocca
11 papers 28 citations h-index 3 2018–2024
Popularity Driven Data Integration
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 impossible to reuse...
Stratified Data Integration
We propose a novel approach to the problem of semantic heterogeneity where data are organized into a set of stratified and independent representation layers, namely: conceptual(where a set of...
Building Interoperable Electronic Health Records as Purpose-Driven Knowledge Graphs
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 is virtually...
iTelos -- Purpose Driven Knowledge Graph Generation
When building a new application we are more and more confronted with the need of reusing and integrating pre-existing knowledge, e.g., ontologies, schemas, data of any kind, from multiple sources....
Stratified Data Integration
A simulation and Online Optimization Approach for the Real-Time Management of Ambulances
Electronic Health Records at People's Hands Across Europe: The InteropEHRate Protocols
LiveData -- A Worldwide Data Mesh for Stratified Data
Data reuse is fundamental for reducing the data integration effort required to build data supporting new applications, especially in data scarcity contexts. However, data reuse requires to deal...
Is your Schema Good Enough to Answer my Query?
Ontology-based data integration has been one of the practical methodologies for heterogeneous legacy database integrated service construction. However, it is neither efficient nor economical to...