INTRODUCTION The Italian Arthroplasty Registry ( has to enclose data collected by two different sources for each Italian region Figure 2 For this reason, the modelling of an ontology in order to formally represent the logic structures entailed by those data and the mapping of them onto a relational database could bring substantial advantages to RIAP a more structured knowledge, a real integration of all national arthroplasty data and more formal data quality feedbacks for the data collectors 10th International Congress of Arthroplasty Registries. MATERIAL AND METHODS The ontology modelling phase was carried out through the usage of the software which enables both a graphical view and a corresponding OWL representation of an ontology Figure 1 while the database was realized through a Microsoft SQL server Finally, the software “Talend Open Studio” was used in order to map the data from the sources to the SQL database. DISCUSSION/CONCLUSION The introduction of semantic technologies supporting a medical registry could help RIAP to perform its analyses in a more efficient way and to improve all the registry data manipulation activities, thanks to the presence of an ontology which could be also easily generalized to be a contribution to the entire implantable devices community. RESULTS The results coming from the ontology and database modelling can be summarized in a centralized knowledge base for RIAP, integrating data coming from multiple sources for each regional participant, a common source of structured knowledge about the arthroplasty domain and an ontology based database to improve RIAP capability of performing survival analyses over implantable devices.

Ontology modelling for the Italian Arthroplasty Registry / Valentini, Riccardo; Carrani, Eugenio; Torre, Marina; Lenzerini, Maurizio. - (2021). (Intervento presentato al convegno ISAR2021 tenutosi a Virtuale).

Ontology modelling for the Italian Arthroplasty Registry

Riccardo Valentini;Maurizio Lenzerini
2021

Abstract

INTRODUCTION The Italian Arthroplasty Registry ( has to enclose data collected by two different sources for each Italian region Figure 2 For this reason, the modelling of an ontology in order to formally represent the logic structures entailed by those data and the mapping of them onto a relational database could bring substantial advantages to RIAP a more structured knowledge, a real integration of all national arthroplasty data and more formal data quality feedbacks for the data collectors 10th International Congress of Arthroplasty Registries. MATERIAL AND METHODS The ontology modelling phase was carried out through the usage of the software which enables both a graphical view and a corresponding OWL representation of an ontology Figure 1 while the database was realized through a Microsoft SQL server Finally, the software “Talend Open Studio” was used in order to map the data from the sources to the SQL database. DISCUSSION/CONCLUSION The introduction of semantic technologies supporting a medical registry could help RIAP to perform its analyses in a more efficient way and to improve all the registry data manipulation activities, thanks to the presence of an ontology which could be also easily generalized to be a contribution to the entire implantable devices community. RESULTS The results coming from the ontology and database modelling can be summarized in a centralized knowledge base for RIAP, integrating data coming from multiple sources for each regional participant, a common source of structured knowledge about the arthroplasty domain and an ontology based database to improve RIAP capability of performing survival analyses over implantable devices.
2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1619324
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