@@ -39,12 +40,15 @@ SAREF4EHAW extension has been specified and formalised by investigating EHAW dom
...
@@ -39,12 +40,15 @@ SAREF4EHAW extension has been specified and formalised by investigating EHAW dom
SAREF4EHAW mainly reuses the following existing ontologies: SAREF, ETSI SmartBAN reference model, SAREF 4 Environment extension and W3C SSN System module. The following figure presents the high level view of SAREF4EHAW ontology.
SAREF4EHAW mainly reuses the following existing ontologies: SAREF, ETSI SmartBAN reference model, SAREF 4 Environment extension and W3C SSN System module. The following figure presents the high level view of SAREF4EHAW ontology.
For semantic interoperability handling purposes, an ontology based solution, combined with sensing-as-a-service and WoT strategies, is retained for SAREF4EHAW. Therefore, an upper level ontology, at service level, shall also behas been fully modelled (Service class and sub-classes depicted in the previous figure).
For semantic interoperability handling purposes, an ontology based solution, combined with sensing-as-a-service and WoT strategies, is retained for SAREF4EHAW. Therefore, an upper level ontology, at service level, shall also behas been fully modelled (Service class and sub-classes depicted in the previous figure).
For embedded semantic analytics purposes, SAREF4EHAW shall behas been designed using the modularity principle (see ETSI TR 103 509) and can thus be mainly described by the following self-contained knowledge sub-ontologies (or modules): HealthActor, Ban, HealthDevice, Function (measured data related concepts included) and Service."""^^<http://www.iana.org/assignments/media-types/text/markdown>.
For embedded semantic analytics purposes, SAREF4EHAW shall behas been designed using the modularity principle (see ETSI TR 103 509) and can thus be mainly described by the following self-contained knowledge sub-ontologies (or modules): HealthActor, Ban, HealthDevice, Function (measured data related concepts included) and Service."""^^<https://www.iana.org/assignments/media-types/text/markdown>.
rdfs:comment"Defined for users (that can in particular be patients) impairments modelling, e.g. aural impairment, skeletal impairment, ocular impairment, mobility impairment, intellectual impairment. Those non exhaustive impairments are compatible with the World Health Organization classification."@en;
rdfs:comment"Defined for users (that can in particular be patients) impairments modelling, e.g. aural impairment, skeletal impairment, ocular impairment, mobility impairment, intellectual impairment. Those non exhaustive impairments are compatible with the World Health Organization classification."@en;
rdfs:comment"A sequence of data in a successive equally spaced points in time. The O&M ontology (ISO 19156) defines Time Series Observation as an “observation whose result is a time-series”, while both Hl7 aECG and DICOM standards define the Series element as a sequence of data sharing a common frame of reference. In SAREF4health this concept is termed as Time Series Measurements since this sequence of data refers to time series measured by a health device.";
rdfs:comment"A sequence of data in a successive equally spaced points in time. The O&M ontology (ISO 19156) defines Time Series Observation as an “observation whose result is a time-series”, while both Hl7 aECG and DICOM standards define the Series element as a sequence of data sharing a common frame of reference. In SAREF4health this concept is termed as Time Series Measurements since this sequence of data refers to time series measured by a health device."@en;