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IOS Press, p 212īlower JD, Masó J, Díaz D, Roberts CJ et al (2015) Communicating thematic data quality with web map services.
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In: seamless care, safe care: the challenges of interoperability and patient safety in health care: proceedings of the EFMI special topic conference, June 2–4, Reykjavik, Iceland, vol 155. In: HEALTHINF, pp 216–221īlobel B, Moner D, Hildebrand C, Robles M (2010) Standardized and flexible health data management with an archetype driven EHR system (EHRflex). In: MIE, pp 147–151īisbal J, Berry D (2009) Archetype alignment-a two-level driven semantic matching approach to interoperability in the clinical domain. īernstein K, Tvede I, Petersen J, Bredegaard K (2009) Can openEHR archetypes be used in a national context? The Danish archetype proof-of-concept project. The openEHR Foundation, Londonīeaulieu SE, Fox PA, Di Stefano M et al (2016) Toward cyber infrastructure to facilitate collaboration and reproducibility for marine integrated ecosystem assessments. Int J Med Informīeale T, Heard S (2007) Archetype definition language. OOPSLA workshop on behavioural semanticsīeale T (2003) Towards design principles for health information systems. Semantic web for earth and environment technology TCĪQL, Archetype Query Language 1.0.3 (2015) Available: īeale T (2002) Archetypes: constraint-based domain models for future-proof information systems. Norwegian university of science and technology O&M Natural environment research council NTNU National aeronautics and space administration NERC International organization for standardization JSON
Digital wwnorton ess geo 5 iso#
Infrastructure for spatial information in europe ISO A rudimentary use-case is presented, followed by a worked example showing the implementation methodology and considerations leading to an O&M based, two-level modelling design approach, to realise semantically rich and interoperable Earth System Science based geo-observational sensor systems.Įuropean committee for standardization (comité européen de normalisation) CEMĭescriptive ontology for linguistic and cognitive engineering ECHOĮarth observing system clearing house EHR We show how the Open Geospatial Consortium’s (OGC) Observations & Measurements (O&M) standard can act as a pragmatic solution for a stable reference-model (necessary for two-level modelling), and upon which more volatile domain specific concepts can be defined and managed using archetypes. A translational approach to enable a two-level modelling process within geo-observational sensor systems design is described. This paper proposes that two-level modelling methodologies developed by health informaticians to tackle problems of domain specific use-case knowledge modelling can be re-used within ESS informatics. In many cases, an over simplification of the domain concept is captured by the computer scientist. Object oriented techniques that are typically employed to model data in a complex domain (with evolving domain concepts) can unnecessarily exclude domain specialists from the design process, invariably leading to a mismatch between the needs of the domain specialists, and how the concepts are modelled. This impoverished approach to observational data representation reduces the ability of multi-disciplinary practitioners to share information in a computable way. Data models underpinning these information systems are often too rigid in their data representation to allow for the ever-changing and evolving nature of ESS domain concepts. Earth System Science (ESS) observational data are often inadequately semantically enriched by geo-observational information systems to capture the true meaning of the associated data sets.