A formal, scalable approach to semantic interoperability

Kaura, 2019, Association of troponin level and age with mortality in 250000 patients: cohort study across five UK acute care centres, BMJ Clin. Res., 367 Castro, 2016, Algebraic foundations for specification refinements, 112 Cuenca Grau, 2004, Working with multiple ontologies on the semantic web, vol. 3298, 620 Daniel, 2014, Model-driven engineering in the heterogeneous tool set, vol. 8941, 64 Davies, 2010, Semantic frameworks: meanings in the architecture, vol. 5966, 40 Davies, 2015, Domain-specific modelling for clinical research Davies, 2014, Model-driven engineering of information systems: 10 years and 1000 versions, Sci. Comput. Program., 89B, 88, 10.1016/j.scico.2013.02.002 Davies, 2008, Metadata standards for semantic interoperability in electronic government Dugas, 2016, ODMedit: uniform semantic annotation for data integration in medicine based on a public metadata repository, BMC Med. Res. Methodol., 16, 65, 10.1186/s12874-016-0164-9 Giménez Gomes, 2010, Formal development of a cardiac pacemaker: from specification to code, 210 Hinchey, 2012 Kuchinke, 2009, CDISC standard-based electronic archiving of clinical trials, Methods Inf. Med., 48, 408, 10.3414/ME9236 Meier, 2003, eXist: an open source native XML database, 169 Meyer, 2000 Milward, 2019, Model driven data management in healthcare, 107 NASA, 1999 OMG International Standards Organisation Ribière, 2002, A viewpoint model for cooperative building of an ontology, 220 Rumbaugh, 1991 Sprague, 2017, Challenges with secondary use of multi-source water-quality data in the United States, Water Res., 110, 252, 10.1016/j.watres.2016.12.024 Tennison, 1998, APECKS: a tool to support living ontologies, 18 Ulrich, 2016, Metadata repository for improved data sharing and reuse based on HL7 FHIR, 162 Woodcock