Cross-Border Medical Research Using Multi-Layered and Distributed Knowledge

Gabor Bella, Liz Elliott, Subhashis Das, Stephen Pavis, Ettore Turra, David Robertson, Fausto Giunchiglia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

As medical research becomes ever finer-grained, experiments require healthcare data in quantities that single countries cannot provide. Cross-jurisdictional data collection remains, however, extremely challenging due to the diverging legal, professional, linguistic, normative, and technological contexts of the participating countries. Medical data heterogeneity, in particular, is still a largely unsolved problem on the international level, due to the complexity of data combined with strict precision and data protection constraints. We propose a scalable solution based on a novel knowledge architecture and the corresponding knowledge graph integration methodology. Medical knowledge that drives the scalable integration process is divided into multiple functional layers and is maintained in a distributed manner across participating countries. We successfully applied the approach in the context of a research experiment across Scotland and Italy, and are currently adapting it within other initiatives of Europe-wide health data interoperability.
Original languageEnglish
Title of host publicationECAI 2020
EditorsGiuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang
PublisherIOS Press
Pages2956 - 2963
Number of pages8
ISBN (Electronic)978-1-64368-101-6
ISBN (Print)978-1-64368-100-9
Publication statusPublished - 3 Sept 2020
Event10th International Conference on Prestigious Applications of Intelligent Systems @ ECAI 2020 - Virtual Conference, Spain
Duration: 31 Aug 20203 Sept 2020

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Prtess
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314


Conference10th International Conference on Prestigious Applications of Intelligent Systems @ ECAI 2020
Abbreviated titlePAIS 2020
CityVirtual Conference
Internet address


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