Abstract | ||
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In this paper, we introduce a data integration methodology that promotes technical, syntactic and semantic interoperability for operational healthcare data sources. ETL processes provide access to different operational databases at the technical level. Furthermore, data instances have they syntax aligned according to biomedical terminologies using natural language processing. Finally, semantic web technologies are used to ensure common meaning and to provide ubiquitous access to the data. The system's performance and solvability assessments were carried out using clinical questions against seven healthcare institutions distributed across Europe. The architecture managed to provide interoperability within the limited heterogeneous grid of hospitals. Preliminary scalability result tests are provided. |
Year | DOI | Venue |
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2011 | 10.3233/978-1-60750-806-9-185 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Data Integration,Interoperability,Semantic Integration,Ontology | Data integration,Ontology-based data integration,Semantic integration,Data mining,Interoperability,Computer science,Semantic Web,Cross-domain interoperability,Semantic interoperability,Scalability | Conference |
Volume | ISSN | Citations |
169 | 0926-9630 | 2 |
PageRank | References | Authors |
0.40 | 9 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Douglas Teodoro | 1 | 3 | 1.80 |
Rémy Choquet | 2 | 2 | 0.40 |
Daniel Schober | 3 | 23 | 2.63 |
Giovanni Mels | 4 | 28 | 4.57 |
Emilie Pasche | 5 | 99 | 15.93 |
P Ruch | 6 | 650 | 38.72 |
C Lovis | 7 | 85 | 19.90 |