3 citations · 3 across the 6 of their papers we have counts for
6 papers
LiveData -- A Worldwide Data Mesh for Stratified Data
Simone Bocca, Amarsanaa Ganbold, Tsolmon Zundui
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 req…
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…
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…
Stratified Data Integration
Fausto Giunchiglia, Alessio Zamboni, Mayukh Bagchi +1
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(whe…
iTelos -- Purpose Driven Knowledge Graph Generation
Fausto Giunchiglia, Simone Bocca, Mattia Fumagalli +2
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 m…
Is your Schema Good Enough to Answer my Query?
Yuanwei Zhao, Lan Huang, Bo Wang +4
Ontology-based data integration has been one of the practical methodologies for heterogeneous legacy database integrated service construction. However, it is neither efficient nor…